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| nonlinear regression in minitab: Statistics II For Dummies Deborah J. Rumsey, 2021-11-09 Continue your statistics journey with this all-encompassing reference Completed Statistics through standard deviations, confidence intervals, and hypothesis testing? Then you’re ready for the next step: Statistics II. And there’s no better way to tackle this challenging subject than with Statistics II For Dummies! Get a brief overview of Statistics I in case you need to brush up on earlier topics, and then dive into a full explanation of all Statistic II concepts, including multiple regression, analysis of variance (ANOVA), Chi-square tests, nonparametric procedures, and analyzing large data sets. By the end of the book, you’ll know how to use all the statistics tools together to create a great story about your data. For each Statistics II technique in the book, you get an overview of when and why it’s used, how to know when you need it, step-by-step directions on how to do it, and tips and tricks for working through the solution. You also find: What makes each technique distinct and what the results say How to apply techniques in real life An interpretation of the computer output for data analysis purposes Instructions for using Minitab to work through many of the calculations Practice with a lot of examples With Statistics II For Dummies, you will find even more techniques to analyze a set of data. Get a head start on your Statistics II class, or use this in conjunction with your textbook to help you thrive in statistics! |
| nonlinear regression in minitab: Intermediate Statistics For Dummies Deborah J. Rumsey, 2007-02-26 Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, correlate, and congregate certain variables based on the information at hand. The techniques you’ll learn in this book are the same techniques used by professionals in medical and scientific fields. Picking up right where Statistics For Dummies left off, this straightforward, easy-to-follow book guides you beyond Central Limit Theorem and hypothesis tests and immerses you in flavors of regression, ANOVA, and nonparametric procedures. Unlike regular statistics books, this guide provides full explanations of intermediate statistical ideas; computer input dissection; an extensive number of examples, tips, strategies, and warnings; and clear, concise step-by-step procedures—all in a language you can understand. You’ll soon discover how to: Analyze data and base models off of your data Make predictions using regression Compare many means with ANOVA Test models using Chi-square Dealing with abnormal data In addition, this book includes a list of wrong statistical conclusions and common questions that professors ask using computer output. This book also adopts a nonlinear approach, making it possible to skip to the information you need without having to read previous chapters. With Intermediate Statistics For Dummies, you’ll have all the tools you need to make important decisions in all types of professional areas—from biology and engineering to business and politics! |
| nonlinear regression in minitab: Scientific Data Analysis Graham Currell, 2015 Drawing on the author's extensive experience of supporting students undertaking projects, Scientific Data Analysis is a guide for any science undergraduate or beginning graduate who needs to analyse their own data, and wants a clear, step-by-step description of how to carry out their analysis in a robust, error-free way. |
| nonlinear regression in minitab: A Quantitative Approach to Commercial Damages Mark G. Filler, James A. DiGabriele, 2012-04-09 How-to guidance for measuring lost profits due to business interruption damages A Quantitative Approach to Commercial Damages explains the complicated process of measuring business interruption damages, whether they are losses are from natural or man-made disasters, or whether the performance of one company adversely affects the performance of another. Using a methodology built around case studies integrated with solution tools, this book is presented step by step from the analysis damages perspective to aid in preparing a damage claim. Over 250 screen shots are included and key cell formulas that show how to construct a formula and lay it out on the spreadsheet. Includes Excel spreadsheet applications and key cell formulas for those who wish to construct their own spreadsheets Offers a step-by-step approach to computing damages using case studies and over 250 screen shots Often in the course of business, a firm will be damaged by the actions of another individual or company, such as a fire that shuts down a restaurant for two months. Often, this results in the filing of a business interruption claim. Discover how to measure business losses with the proven guidance found in A Quantitative Approach to Commercial Damages. |
| nonlinear regression in minitab: Applied Linear Statistical Models with Student CD Michael Kutner, Christopher Nachtsheim, John Neter, William Li, 2004-08-10 Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling, analysis of variance, and the design of experiments. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text proceeds through linear and nonlinear regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and Comments to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, projects, and case studies are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and the use of automated software without loss of understanding. |
| nonlinear regression in minitab: Analytical Tools in Research L N Pattanaik, 2017-02-23 Irrespective of the specialization, researchers in universities or elsewhere often come across a situation where judicious selection of an analytical tool is required for problem solving, modelling, optimization, prediction, data analysis and inference, decision making etc. to proceed with the research work. The book 'Analytical Tools in Research' intends to assist in this crucial step by providing key features of about 80 classical and contemporary analytical tools from statistics, operation research, metaheuristics, artificial intelligence and hybridization of these tools. Some of the popular tools included are Regression analysis (ten types), ANOVA, DoE, Taguchi, RSM, Grey analysis, MCDM (AHP, VIKOR, TOPSIS etc.), Fuzzy logic, ANN, Multi-objective GA, ANFIS, fuzzy-ELECTRE, Grey-Taguchi and so on. Illustrative examples with software applications are presented to reduce the gap between theory and application. |
| nonlinear regression in minitab: Becoming a Certified Six Sigma Master Black Belt Hemant Urdhwareshe, Husain A. Al-Omani, Thomas J. West, 2025-03-27 Six Sigma is a systematic approach to making significant or breakthrough process improvements. Currently, Six Sigma exists as a team-based problem-solving approach applied by trained project facilitators, which are typically called belts. Depending on the level of expertise in the methodology and improvement tools, belts can be White, Yellow, Green, Black, and Master Black Belts (MBBs). The Master Black Belt is the highest level of expertise in Six Sigma approaches, tools, and techniques. In companies implementing Six Sigma, the role of Master Black Belt is to train, guide, and coach Black and Green belts to execute their improvement projects efficiently. In addition to this, Master Black Belts are often responsible for overseeing the organization’s entire improvement program with the ultimate responsibility for creating a robust culture of continuous improvement. Thus, the competence of MBBs is critically important for the success and long-term sustainability of Six Sigma in organizations. This book is ideal for all those who wish to get trained and certified as Master Black Belts and train others to achieve breakthrough results using Six Sigma to shape and execute improvement projects. The book has the right balance between topics such as strategic planning, project selection, stakeholder management, and training design, to advanced statistical techniques such as propagation of errors, destructive measurement systems, general linear models and components of variation, and complex blocking structures in Design of Experiments. This book was written by three expert Master Black Belts certified by the American Society for Quality (ASQ). Moreover, they are from different parts of the world and industry, which brings great diversity to the contents of the book. |
| nonlinear regression in minitab: A First Course in Quality Engineering K. S. Krishnamoorthi, V. Ram Krishnamoorthi, Arunkumar Pennathur, 2018-09-03 This book is the leader among the new generation of text books on quality that follow the systems approach to creating quality in products and services; the earlier generations focused solely on parts of the system such as statistical methods, process control, and management philosophy. It follows the premise that the body of knowledge and tools documented by quality professionals and researchers, when employed in designing, creating and delivering the product will lead to product quality, customer satisfaction and reduced waste. The tools employed at the different stages of the product creation cycle are covered in this book using real world examples along with their theoretical bases, strengths and weaknesses. This textbook can be used for training - from shop floor personnel to college majors in business and engineering to practicing professionals. Graduate students training as researchers in the quality field will also find useful material. The book has been used as the text for a Professional Series Massive Open Online Course offered by the Technical University of Munich on edX.org, through which tens of thousands of participants from all over the world have received training in quality methods. According to Professor Dr. Holly Ott, who chose the book for the course, the text is one of the main factors contributing to success of this MOOC. The Third Edition has been fully revised to be friendly for self-study, reflects changes in the standards referenced such as ISO 9000, and includes new examples of application of statistical tools in health care industry. Features: Reviews the history of quality movement in the U.S. and abroad Discusses Quality Cost analysis and quality’s impact on a company’s bottom line Explains finding customer needs and designing the product using House of Quality Covers selection of product parameters using DOE and reliability principles Includes control charts to control processes to make the product right-the-first-time Describes use of capability indices Cp and Cpk to meet customer needs Presents problem solving methodology and tools for continuous improvement Offers ISO 9000, Baldrige and Six Sigma as templates for creating a quality system |
| nonlinear regression in minitab: Instrumentation Design Studies Ernest Doebelin, 2010-01-20 Integrating physical modeling, mathematical analysis, and computer simulation, Instrumentation Design Studies explores a wide variety of specific and practical instrumentation design situations. The author uses MATLAB and SIMULINK for dynamic system simulation, Minitab for statistical applications, and Mathcad for general engineering computations. |
| nonlinear regression in minitab: Introduction to Linear Regression Analysis Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining, 2021-02-03 INTRODUCTION TO LINEAR REGRESSION ANALYSIS A comprehensive and current introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, 6th Edition is the most comprehensive, fulsome, and current examination of the foundations of linear regression analysis. Fully updated in this new sixth edition, the distinguished authors have included new material on generalized regression techniques and new examples to help the reader understand retain the concepts taught in the book. The new edition focuses on four key areas of improvement over the fifth edition: New exercises and data sets New material on generalized regression techniques The inclusion of JMP software in key areas Carefully condensing the text where possible Introduction to Linear Regression Analysis skillfully blends theory and application in both the conventional and less common uses of regression analysis in today’s cutting-edge scientific research. The text equips readers to understand the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. |
| nonlinear regression in minitab: Supply Chain Analytics and Modelling Nicoleta Tipi, 2021-04-03 An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues. Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available. |
| nonlinear regression in minitab: Problem Solving and Data Analysis Using Minitab Rehman M. Khan, 2013-04-01 Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving. Each example and exercise is broken down into the exact steps that must be followed in order to take the reader through key learning points and work through complex analyses. Exercises are featured at the end of each example so that the reader can be assured that they have understood the key learning points. Key features: Provides readers with a step by step guide to problem solving and statistical analysis using Minitab 16 which is also compatible with version 15. Includes fully worked examples with graphics showing menu selections and Minitab outputs. Uses example based learning that the reader can work through at their pace. Contains hundreds of screenshots to aid the reader, along with explanations of the statistics being performed and interpretation of results. Presents the core statistical techniques used by Six Sigma Black Belts. Contains examples, exercises and solutions throughout, and is supported by an accompanying website featuring the numerous example data sets. Making Six Sigma statistical methodology accessible to beginners, this book is aimed at numerical professionals, students or academics who wish to learn and apply statistical techniques for problem solving, process improvement or data analysis whilst keeping mathematical theory to a minimum. |
| nonlinear regression in minitab: Hydraulics and Fluid Mechanics, Volume 1 Manish Pandey, N. V. Umamahesh, Z. Ahmad, Giuseppe Oliveto, 2025-01-13 This book comprises the proceedings of the 28th International Conference on Hydraulics, Water Resources, River and Coastal Engineering (HYDRO 2023) focusing on broad spectrum of emerging opportunities and challenges in the field of hydraulics and fluid mechanics. It covers a range of topics, including, but not limited to, experimental and computational fluid mechanics, sediment dynamics, environmental impact assessment of water resources projects, environmental flows, pollutant transport, etc. Presenting recent advances in the form of illustrations, tables, and text, it offers readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the field of flood forecasting and hydraulic structures, making it a valuable resource for both beginners and researchers wanting to further their understanding of hydraulics, water resources and coastal engineering. |
| nonlinear regression in minitab: Statistics and Probability with Applications for Engineers and Scientists Bhisham C. Gupta, Irwin Guttman, 2013-04-17 Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences. |
| nonlinear regression in minitab: Principles of Managerial Statistics and Data Science Roberto Rivera, 2020-02-05 Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals. |
| nonlinear regression in minitab: Data Processing in Archaeology J. D. Richards, N. S. Ryan, 1985-05-02 This book aims to give archaeologists a non-technical but thorough grounding in the use of computers. |
| nonlinear regression in minitab: Guide to Available Mathematical Software Ronald F. Boisvert, Sally E. Howe, David K. Kahaner, 1984 |
| nonlinear regression in minitab: Modern Engineering Statistics Thomas P. Ryan, 2007-09-28 An introductory perspective on statistical applications in the field of engineering Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications. With a nice blend of methodology and applications, this book provides and carefully explains the concepts necessary for students to fully grasp and appreciate contemporary statistical techniques in the context of engineering. With almost thirty years of teaching experience, many of which were spent teaching engineering statistics courses, the author has successfully developed a book that displays modern statistical techniques and provides effective tools for student use. This book features: Examples demonstrating the use of statistical thinking and methodology for practicing engineers A large number of chapter exercises that provide the opportunity for readers to solve engineering-related problems, often using real data sets Clear illustrations of the relationship between hypothesis tests and confidence intervals Extensive use of Minitab and JMP to illustrate statistical analyses The book is written in an engaging style that interconnects and builds on discussions, examples, and methods as readers progress from chapter to chapter. The assumptions on which the methodology is based are stated and tested in applications. Each chapter concludes with a summary highlighting the key points that are needed in order to advance in the text, as well as a list of references for further reading. Certain chapters that contain more than a few methods also provide end-of-chapter guidelines on the proper selection and use of those methods. Bridging the gap between statistics education and real-world applications, Modern Engineering Statistics is ideal for either a one- or two-semester course in engineering statistics. |
| nonlinear regression in minitab: The Certified Six Sigma Master Black Belt Handbook T.M. Kubiak, 2012-11-19 Organizations are continuously trying to improve by reducing cost, increasing customer satisfaction, and creating an environment of empowered employees who continuously strive for excellence in each process and product. In much the same way, governments are continuously required to do “more with less,” enhance budget and organizational performance, and identify innovative ways to increase their impact. There are challenges to applying the Lean-Six Sigma (LSS) tools in the public sector. Examples of these challenges include hierarchical environments, a lack of common goals, and the complexity of working in the public sector. The information included as part of this book provides over 30 spotlights highlighting project examples, lessons learned, and tips and tricks for using LSS in the public sector. These spotlights are based on interviews facilitated with a robust sampling of senior operations strategy practitioners. The LSS methodology focuses on eliminating waste (lean) and then reducing variation (Six Sigma) in a process or product that contains no waste. The information covered in this book will allow someone to have an immediate impact in any public sector organization. It describes some of the most powerful continuous process improvement tools that can be used, with limited training required. This is further enhanced by showing direct correlations to the LSS tools and the challenges that will be faced. Because the public sector spans such a diverse range of organizational charters (such as transportation, education, and defense), this book does not focus solely on either manufacturing or services. Rather, it provides a balanced approach to utilizing LSS in all environments. |
| nonlinear regression in minitab: Data Science and Digital Business Fausto Pedro García Márquez, Benjamin Lev, 2019-01-04 This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business. |
| nonlinear regression in minitab: Statistics in Engineering Andrew Metcalfe, 1994-07-01 Statistics in Engineering provides a succinct introduction to statistics. The ideas are introduced with examples set in their practical context. The underlying mathematics are given in an informal way and are included for those who find that mathematical justification helps their understanding of concepts, and for anyone who needs to take the subject further The author indicates sections that can be omitted without any loss of continuity. The book is kept as simple as possible, and assumes only some familiarity with elementary calculus and matrices. The first seven chapters of the book cover a typical 40-hour statistics module taken by engineering or science students who are beginning the subject. This includes the basic ideas, relationships between variables, and the design and analysis of experiments. The final chapter looks at some important engineering situations that are not fully covered by the methods of the preceding chapters. |
| nonlinear regression in minitab: Advances in Mechanical Processing and Design Prita Pant, Sushil K. Mishra, Purna Chandra Mishra, 2020-11-25 This book presents selected proceedings of the International Conference on Advances in Mechanical Processing and Design (ICAMPD 2019). The contents highlight latest research in next-generation mechanical systems design, thermal and fluid systems design, materials and smart manufacturing processes, and industrial engineering. Some of the topics covered include smart materials, materials processing and applications, smart machinery and machine design, system dynamics and simulation, biomimetics, energy systems, micro- and nano-scale transport, automotive engineering, advance material characterization and testing, and green and sustainable manufacturing. Given the scope of the contents, this book can be of interest to students, researchers as well as industry professionals. |
| nonlinear regression in minitab: Applied Statistical Methods in Agriculture, Health and Life Sciences Bayo Lawal, 2014-09-15 This textbook teaches crucial statistical methods to answer research questions using a unique range of statistical software programs, including MINITAB and R. This textbook is developed for undergraduate students in agriculture, nursing, biology and biomedical research. Graduate students will also find it to be a useful way to refresh their statistics skills and to reference software options. The unique combination of examples is approached using MINITAB and R for their individual strengths. Subjects covered include among others data description, probability distributions, experimental design, regression analysis, randomized design and biological assay. Unlike other biostatistics textbooks, this text also includes outliers, influential observations in regression and an introduction to survival analysis. Material is taken from the author's extensive teaching and research in Africa, USA and the UK. Sample problems, references and electronic supplementary material accompany each chapter. |
| nonlinear regression in minitab: Wastewater Treatment Systems Gustaf Olsson, B. Newell, 1999-05-31 This is a book for those operating and studying biological wastewater treatment plants. It introduces the state-of-the-art in process systems analysis (modelling and simulation, monitoring and diagnosis, process control and instrumentation) and in particular its application to wastewater treatment. While the emphasis is on biological nutrient removal, there is discussion of anaerobic treatment, and the principles apply to any treatment process. For the computer literate there is also a collection of MATLAB programs and functions that are mentioned throughout the book. They will run on both the professional and student editions of MATLAB Version 5. Contents Modelling Plant Dynamics, Basic Modelling, Advanced Modelling Empirical or Black-Box Models, Experiments and Data Screening, Principles of Parameter Estimation, Fitting and Validating Models, Simulators Diagnosis Diagnosis - an Introduction, Quality Management, Model Based Diagnosis, Knowledge Based Systems Control Goals and Strategies, Disturbances Manipulated Variables, Feedback Control, Model Based Control, Batch Plant Control, Plant Wide Control, Benefit Studies Instrumentation Primary Sensors, Analysers Actuators and Controllers The Future |
| nonlinear regression in minitab: Encyclopedia of Business Analytics and Optimization Wang, John, 2014-02-28 As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal. |
| nonlinear regression in minitab: Business Statistics Ken Black, Ken (University of Houston Black, Clear Lake TX), 2023-12-25 |
| nonlinear regression in minitab: Handbook of Statistical Methods for Engineers and Scientists Harrison M. Wadsworth, 1990 Very Good,No Highlights or Markup,all pages are intact. |
| nonlinear regression in minitab: Current Trends in Civil Engineering and Engineering Sciences 2024, Vol 2 Mahdi Karkush, Deepankar Choudhury, Mohammed Fattah, 2024-11-15 This book contains selected articles from the fourth International Conference on Geotechnical Engineering-Iraq 2024 (ICGE-2024) held on April 17–18, 2024, at at Warith Al-Anbiyaa University, Karbala, Iraq. This proceeding discusses the latest research and studies in geotechnical engineering and all related topics in different fields such as civil engineering, environmental engineering, and architectural engineering. This book gives participants from both academics and industry a great chance to learn about recent developments in Geotechnical engineering fields. |
| nonlinear regression in minitab: Fundamental and Biomedical Aspects of Redox Processes Duca, Gheorghe, Vaseashta, Ashok, 2023-06-01 Redox processes represent a major advancement in water treatment technology and have other applications across environmental and technological contexts. Redox processes must be studied further to ensure they are utilized appropriately. Fundamental and Biomedical Aspects of Redox Processes accumulates new knowledge regarding the essence of the oxidation-reduction processes, the justification of key mechanisms, and the discovery of new aspects of methods of controlling redox reactions. Covering key topics such as wastewater treatment, soil, natural waters, and chemistry, this reference work is ideal for industry professionals, scientists, researchers, academicians, scholars, practitioners, instructors, and students. |
| nonlinear regression in minitab: Applied Business and Economic Statistics Kenneth Richard White, 2003 |
| nonlinear regression in minitab: Sustainable Business and Industry Joseph Jacobsen, 2011-01-01 This book is an introduction to developing and implementing a successful program in the domain of sustainability and social responsibility. The reader is exposed to financially, environmentally, and socially responsible objectives that are supported by strategies and achieved by clear tactics that have measurable outcomes. The reader is introduced to methods of implementing technologies and practices and will also learn how to measure the consequent social and environmental performance for written reports and persuasive presentations. This book also reveals why we should be sustainable by explaining seemingly complex topics in science in a way that requires very little math or science background. The overview also captures how sustainability and social responsibility can be the source of process and product innovation. This book's approach is practical yet scientific. The nine chapters are dedicated to the practice of environmental and social responsibility in ways that achieve financial stability over the long run. As a result, these chapters help us understand not just why businesses need to be more responsible but how businesses can be more successful over the long run. International standards are given full treatment. ISO 26000 is given detailed attention, slightly more than ISO 9000 or ISO 14000, because it melds guidance on both environmental and social responsibility into one general concept of social responsibility. This book also specifies how to use traditional methods such as Six Sigma, lean, and operations research to improve processes, reduce resource use and waste, and make better social and environmental decisions that are based upon data from key financial, social, and environmental performance indicators. Internal and external data sourcing are given full treatment along with basic statistical data management. A recurring theme throughout the book is the integration of traditional methods of continuous improvemen |
| nonlinear regression in minitab: Measurement and Analysis in Transforming Healthcare Delivery Peter J. Fabri, 2016-07-20 This volume provides the important concepts necessary for a physician to participate in a reengineering process, develop decision-making skills based on probability and logic rather than “rules,” and to measure and analyze meaningful outcomes of care delivery. This approach has been developed over ten years in a medical student-based program and has been enthusiastically embraced by medical students without backgrounds in engineering or statistics. More specifically, this text will introduce physicians to relevant and available computer software, combined with an in depth knowledge of measurement, variation, and uncertainty. It provides a basis for the transformation of data into information, information into knowledge, and knowledge into wisdom. The first quarter of the book will address understanding and visualizing data, using statistical and graphic analysis. The next quarter addresses the fundamentals of applied statistics, and the application of conditional probability to clinical decision making. The next quarter addresses the four “cornerstones” of modern analytics: regression, classification, association analysis, and clustering. The final section addresses the identification of outliers and their importance in understanding, the assessment of cause and effect and the limitations associated with retrospective data analysis. This toolbox will prepare the interested physician to actively engage in the identification of problem areas, the design of process-based solutions, and the continuous assessment of outcomes of clinical practice. Armed with this toolbox, the reader will be “prepared to make a difference” in the rapidly changing world of healthcare delivery. Measurement and Analysis in Transforming Healthcare Delivery is an excellent resource for general practitioners, health administrators, and all medical professionals interacting with healthcare delivery. /div |
| nonlinear regression in minitab: Digitalization and Analytics for Smart Plant Performance Frank (Xin X.) Zhu, 2021-04-06 This book addresses the topic of integrated digitization of plants on an objective basis and in a holistic manner by sharing data, applying analytics tools and integrating workflows via pertinent examples from industry. It begins with an evaluation of current performance management practices and an overview of the need for a Connected Plant via digitalization followed by sections on Connected Assets: Improve Reliability and Utilization, Connected Processes: Optimize Performance and Economic Margin and Connected People: Digitalizing the Workforce and Workflows and Developing Ownership and Digital Culture, then culminating in a final section entitled Putting All Together Into an Intelligent Digital Twin Platform for Smart Operations and Demonstrated by Application cases. |
| nonlinear regression in minitab: Multi-Objective Optimization Jyotsna K. Mandal, Somnath Mukhopadhyay, Paramartha Dutta, 2018-08-18 This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems. |
| nonlinear regression in minitab: The Method of Response Function in Psychology & Sociology Irina G. Malkina-Pykh, Y. A. Pykh, 2013 Social (psychological and sociological) systems present considerable difficulties for modellers due to their complexity, multidimensionality, uncertainty and irreducibility. The book proposes that response functions (MRF) be used as a method of constructing purposeful, credible and integrated social systems' models from data and prior knowledge or information. A semi-empirical, or grey-box, MRF model may be regarded as a trade-off between a knowledge-based model and a black-box (empirical) model. It may embody all the existing knowledge on the process (or a part thereof) and, in addition, it relies on parameterised functions, whose parameters are determined from measurements. Observations contain hidden information on the processes under consideration and one of the main purposes of the proposed method is to extract and describe these hidden relationships. Parameterisation offers ways to couple qualitative with quantitative analysis. This combination makes it possible to take into account all the phenomena that are not modelled with the required accuracy through prior knowledge. Although only a simplified picture of the processes is modelled, a grey box system model provides some insight into the system processes. These processes are featured by chains of causality, highlighting stressors and variables responsive to stressors. The method of response functions is a nonlinear regression method that implies credible models in the sense that they are identifiable and, hopefully, explain system output behaviour satisfactorily. For case studies the authors have selected the problems usually studied by psychologists and sociologists with statistical procedures, such as investigation of variance and discriminant analysis based on the general linear model or one of its multivariate generalisations (structural equation models, etc.); disordered eating and obesity; subjective well-being and alexithymia. An accompanying CD-ROM contains the demonstration versions of three models that are discussed in the various chapters.The Method of Response Functions in Psychology and Sociology is aimed at Mathematical Psychologists; Mathematical Sociologists; Applied Psychologists; Sociologists and Social Practitioners. It will also be suitable for use on undergraduate as well as graduate and postgraduate courses specializing in these areas. |
| nonlinear regression in minitab: Optimal Coordination of Power Protective Devices with Illustrative Examples Ali R. Al-Roomi, 2021-11-30 Optimal Coordination of Power Protective Devices with Illustrative Examples Provides practical guidance on the coordination issue of power protective relays and fuses Protecting electrical power systems requires devices that isolate the components that are under fault while keeping the rest of the system stable. Optimal Coordination of Power Protective Devices with Illustrative Examples provides a thorough introduction to the optimal coordination of power systems protection using fuses and protective relays. Integrating fundamental theory and real-world practice, the text begins with an overview of power system protection and optimization, followed by a systematic description of the essential steps in designing optimal coordinators using only directional overcurrent relays. Subsequent chapters present mathematical formulations for solving many standard test systems, and cover a variety of popular hybrid optimization schemes and their mechanisms. The author also discusses a selection of advanced topics and extended applications including adaptive optimal coordination, optimal coordination with multiple time-current curves, and optimally coordinating multiple types of protective devices. Optimal Coordination of Power Protective Devices: Covers fuses and overcurrent, directional overcurrent, and distance relays Explains the relation between fault current and operating time of protective relays Discusses performance and design criteria such as sensitivity, speed, and simplicity Includes an up-to-date literature review and a detailed overview of the fundamentals of power system protection Features numerous illustrative examples, practical case studies, and programs coded in MATLAB® programming language Optimal Coordination of Power Protective Devices with Illustrative Examples is the perfect textbook for instructors in electric power system protection courses, and a must-have reference for protection engineers in power electric companies, and for researchers and industry professionals specializing in power system protection. |
| nonlinear regression in minitab: Linear Models and Generalizations C. Radhakrishna Rao, Helge Toutenburg, Shalabh, Christian Heumann, 2007-10-15 Thebookisbasedonseveralyearsofexperienceofbothauthorsinteaching linear models at various levels. It gives an up-to-date account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the graduate level and as an accompanying text for courses in other areas. Some of the highlights in this book are as follows. A relatively extensive chapter on matrix theory (Appendix A) provides the necessary tools for proving theorems discussed in the text and o?ers a selectionofclassicalandmodernalgebraicresultsthatareusefulinresearch work in econometrics, engineering, and optimization theory. The matrix theory of the last ten years has produced a series of fundamental results aboutthe de?niteness ofmatrices,especially forthe di?erences ofmatrices, which enable superiority comparisons of two biased estimates to be made for the ?rst time. We have attempted to provide a uni?ed theory of inference from linear models with minimal assumptions. Besides the usual least-squares theory, alternative methods of estimation and testing based on convex loss fu- tions and general estimating equations are discussed. Special emphasis is given to sensitivity analysis and model selection. A special chapter is devoted to the analysis of categorical data based on logit, loglinear, and logistic regression models. The material covered, theoretical discussion, and a variety of practical applications will be useful not only to students but also to researchers and consultants in statistics. |
| nonlinear regression in minitab: Introductory Statistics, International Adaptation Prem S. Mann, 2024-02-06 Introductory Statistics, 10th edition, is written for a one- or two-semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach, the book encourages statistical interpretation and literacy regardless of student background. The book employs a clear and straightforward writing style and uses abundant visuals and figures, which reinforce key concepts and relate new ideas to prior sections for a smooth transition between topics. This international edition offers new and updated materials and focuses on strengthening the coverage by including new sections on types of scales, negative binomial distribution, and two-way analysis of variance. Additionally, discussions on ogive curves, geometric mean, and harmonic mean have also been added. Many examples and exercises throughout the book are new or revised, providing varied ways for students to practice statistical concepts. |
| nonlinear regression in minitab: Novel Control Diagnostics for Plasma Processing Helen Louise Maynard, 1993 |
| nonlinear regression in minitab: Applied Reliability Paul A. Tobias, David Trindade, 2011-08-26 Since the publication of the second edition of Applied Reliability in 1995, the ready availability of inexpensive, powerful statistical software has changed the way statisticians and engineers look at and analyze all kinds of data. Problems in reliability that were once difficult and time consuming even for experts can now be solved with a few well |
Home | Nonlinear Dynamics - Springer
Nonlinear Dynamics is a hybrid journal publishing original content at the forefront of nonlinear dynamic research across diverse systems and scales. The journal covers nonlinear dynamics …
Methods in Nonlinear Analysis - SpringerLink
Theories, techniques and results in many different branches of mathematics have been combined in solving nonlinear problems. This book collects and reorganizes up-to-date materials …
Nonlinear Acoustics - SpringerLink
Chapters 10 through 15 cover applications and additional methodologies encountered in nonlinear acoustics that include perturbation and numerical methods, ray theory for inhomogeneous …
Home | Journal of Nonlinear Science - Springer
The mission of the Journal of Nonlinear Science is to publish papers that augment the fundamental ways we describe, model, and predict nonlinear phenomena. It features papers …
Nonlinear Systems: Analysis, Stability, and Control | SpringerLink
Coupled with this set of analytic advances has been the vast increase in computational power available for both the simulation and visualization of nonlinear systems as well as for the …
Articles | Nonlinear Dynamics - Springer
4 days ago · Nonlinear Dynamics is a hybrid journal publishing original content at the forefront of nonlinear dynamic research across diverse systems and scales. The ...
Nonlinear Dynamics: A Concise Introduction Interlaced with Code ...
This concise and up-to-date textbook provides an accessible introduction to the core concepts of nonlinear dynamics as well as its existing and potential applications. The book is aimed at …
Data-driven nonlinear and stochastic dynamics with control
Dec 16, 2024 · The analysis is developed with reference to a nonlinear beam where the two boundary conditions have nonlinearities and masses, with the goal of identifying the uncertain …
Lectures on Nonlinear Dynamics - SpringerLink
This book presents a compilation of lectures delivered at the São Paulo School of Advanced Sciences on Nonlinear Dynamics, categorized into four groups: parametric resonance, …
Aims and scope | Nonlinear Dynamics - Springer
Nonlinear Dynamics provides a forum for the rapid publication of original research in the field of nonlinear dynamics. The scope of the journal encompasses all nonlinear dynamic phenomena …
Home | Nonlinear Dynamics - Springer
Nonlinear Dynamics is a hybrid journal publishing original content at the forefront of nonlinear dynamic research across diverse systems and scales. The journal covers nonlinear dynamics …
Methods in Nonlinear Analysis - SpringerLink
Theories, techniques and results in many different branches of mathematics have been combined in solving nonlinear problems. This book collects and reorganizes up-to-date materials …
Nonlinear Acoustics - SpringerLink
Chapters 10 through 15 cover applications and additional methodologies encountered in nonlinear acoustics that include perturbation and numerical methods, ray theory for inhomogeneous …
Home | Journal of Nonlinear Science - Springer
The mission of the Journal of Nonlinear Science is to publish papers that augment the fundamental ways we describe, model, and predict nonlinear phenomena. It features papers …
Nonlinear Systems: Analysis, Stability, and Control | SpringerLink
Coupled with this set of analytic advances has been the vast increase in computational power available for both the simulation and visualization of nonlinear systems as well as for the …
Articles | Nonlinear Dynamics - Springer
4 days ago · Nonlinear Dynamics is a hybrid journal publishing original content at the forefront of nonlinear dynamic research across diverse systems and scales. The ...
Nonlinear Dynamics: A Concise Introduction Interlaced with Code ...
This concise and up-to-date textbook provides an accessible introduction to the core concepts of nonlinear dynamics as well as its existing and potential applications. The book is aimed at …
Data-driven nonlinear and stochastic dynamics with control
Dec 16, 2024 · The analysis is developed with reference to a nonlinear beam where the two boundary conditions have nonlinearities and masses, with the goal of identifying the uncertain …
Lectures on Nonlinear Dynamics - SpringerLink
This book presents a compilation of lectures delivered at the São Paulo School of Advanced Sciences on Nonlinear Dynamics, categorized into four groups: parametric resonance, …
Aims and scope | Nonlinear Dynamics - Springer
Nonlinear Dynamics provides a forum for the rapid publication of original research in the field of nonlinear dynamics. The scope of the journal encompasses all nonlinear dynamic phenomena …
