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Statistical Case Studies For Industrial Process Improvement


Statistical Case Studies For Industrial Process Improvement
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Statistical Case Studies For Industrial Process Improvement


Statistical Case Studies For Industrial Process Improvement
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Author : Veronica Czitrom
language : en
Publisher: SIAM
Release Date : 1997-01-01

Statistical Case Studies For Industrial Process Improvement written by Veronica Czitrom and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-01 with Technology & Engineering categories.


A selection of studies by professionals in the semiconductor industry illustrating the use of statistical methods to improve manufacturing processes.



Statistical Case Studies


Statistical Case Studies
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Author : Roxy Peck
language : en
Publisher: SIAM
Release Date : 1998-01-01

Statistical Case Studies written by Roxy Peck and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-01 with Mathematics categories.


Statisticians know that the clean data sets that appear in textbook problems have little to do with real-life industry data. To better prepare their students for all types of statistical careers, academic statisticians now strive to use data sets from real-life statistical problems. This book contains 20 case studies that use actual data sets that have not been simplified for classroom use. Each case study is a collaboration between statisticians from academe and from business, industry, or government.



Six Sigma Quality Improvement With Minitab


Six Sigma Quality Improvement With Minitab
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Author : G. Robin Henderson
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-28

Six Sigma Quality Improvement With Minitab written by G. Robin Henderson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-28 with Mathematics categories.


This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical methods fundamental to the Six Sigma approach to the continuous improvement of products, processes and services. The second edition includes the following new material: Pareto charts and Cause-and-Effect diagrams Time-weighted control charts cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) Multivariate control charts Acceptance sampling by attributes and variables (not provided in Release 14) Tests of association using the chi-square distribution Logistic regression Taguchi experimental designs



Anthology Of Statistics In Sports


Anthology Of Statistics In Sports
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Author : Jim Albert
language : en
Publisher: SIAM
Release Date : 2005-01-31

Anthology Of Statistics In Sports written by Jim Albert and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-31 with Mathematics categories.


Sport and statistics collide in this collection of articles (from American Statistical Association publications) on using statistics to analyze sport. Most of the articles will be accessible to readers with a general knowledge of statistics. New material from the editors and other notable contributors introduces each section of the book.



Applied Adaptive Statistical Methods


Applied Adaptive Statistical Methods
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Author : Thomas W. O'Gorman
language : en
Publisher: SIAM
Release Date : 2004-01-01

Applied Adaptive Statistical Methods written by Thomas W. O'Gorman and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-01 with Mathematics categories.


Adaptive statistical tests, developed over the last 30 years, are often more powerful than traditional tests of significance, but have not been widely used. To date, discussions of adaptive statistical methods have been scattered across the literature and generally do not include the computer programs necessary to make these adaptive methods a practical alternative to traditional statistical methods. Until recently, there has also not been a general approach to tests of significance and confidence intervals that could easily be applied in practice. Modern adaptive methods are more general than earlier methods and sufficient software has been developed to make adaptive tests easy to use for many real-world problems. Applied Adaptive Statistical Methods: Tests of Significance and Confidence Intervals introduces many of the practical adaptive statistical methods developed over the last 10 years and provides a comprehensive approach to tests of significance and confidence intervals. It shows how to make confidence intervals shorter and how to make tests of significance more powerful by using the data itself to select the most appropriate procedure.



Design And Analysis Of Gauge R R Studies


Design And Analysis Of Gauge R R Studies
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Author : Richard K. Burdick
language : en
Publisher: SIAM
Release Date : 2005-01-01

Design And Analysis Of Gauge R R Studies written by Richard K. Burdick and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with Technology & Engineering categories.


This book provides a protocol for conducting gauge repeatability and reproducibility (R&R) experiments. Such an experiment is required whenever a new test system is developed to monitor a manufacturing process. The protocol presented here is used to determine if the testing system is capable of monitoring the manufacturing process with the desired level of accuracy and precision. This protocol is not currently available in other books or technical reports. In addition to providing a protocol for testing a measurement system, the book presents an up-to-date summary of methods used to construct confidence intervals in normal-based random and mixed analysis of variance (ANOVA) models. Thus, this comprehensive book will be useful to scientists in all fields of application who wish to construct interval estimates for ANOVA model parameters. It includes approaches that can be applied to any ANOVA model, and because it contains detailed examples of all computations, practitioners will be able to easily apply the methods. The book describes methods for constructing two types of confidence intervals: modified large-sample (MLS) and generalized confidence intervals. Computer codes written in SAS and Excel are provided to perform the computations. Appendices are included for readers who are unfamiliar with confidence intervals or lack a basic understanding of random and mixed ANOVA models.



Mathematica Laboratories For Mathematical Statistics


Mathematica Laboratories For Mathematical Statistics
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Author : Jenny A. Baglivo
language : en
Publisher: SIAM
Release Date : 2005-01-01

Mathematica Laboratories For Mathematical Statistics written by Jenny A. Baglivo and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with Mathematics categories.


CD-ROM contains text, data, computations, and graphics.



The Role Of Statistics In Business And Industry


The Role Of Statistics In Business And Industry
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Author : Gerald J. Hahn
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20

The Role Of Statistics In Business And Industry written by Gerald J. Hahn and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Mathematics categories.


An insightful guide to the use of statistics for solving key problems in modern-day business and industry This book has been awarded the Technometrics Ziegel Prize for the best book reviewed by the journal in 2010. Technometrics is a journal of statistics for the physical, chemical and engineering sciences, published jointly by the American Society for Quality and the American Statistical Association. Criteria for the award include that the book brings together in one volume a body of material previously only available in scattered research articles and having the potential to significantly improve practice in engineering and science. Highlighting the relevance of statistical methods in everyday applications, The Role of Statistics in Business and Industry bridges the gap between the tools of statistics and their use in today's business world. This one-of-a-kind resource encourages the proactive use of statistics in three well-organized and succinct parts: Setting the Stage provides an introduction to statistics, with a general overview of its uses in business and industry Manufactured Product Applications explains how statistical techniques assist in designing, building, improving, and ensuring the reliability of a wide variety of manufactured products such as appliances, plastic materials, aircraft engines, and locomotives Other Applications describe the role of statistics in pharmaceuticals, finance, and business services, as well as more specialized areas including the food, semiconductor, and communications industries This book is truly unique in that it first describes case studies and key business problems, and then shows how statistics is used to address them, while most literature on the topic does the reverse. This approach provides a comprehensive understanding of common issues and the most effective methods for their treatment. Each chapter concludes with general questions that allow the reader to test their understanding of the presented statistical concepts as well as technical questions that raise more complex issues. An extensive FTP site provides additional material, including solutions to some of the applications. With its accessible style and real-world examples, The Role of Statistics in Business and Industry is a valuable supplement for courses on applied statistics and statistical consulting at the upper-undergraduate and graduate levels. It is also an ideal resource for early-career statisticians and practitioners who would like to learn the value of applying statistics to their everyday work.



The Analysis Of Means


The Analysis Of Means
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Author : Peter R. Nelson
language : en
Publisher: SIAM
Release Date : 2005-01-01

The Analysis Of Means written by Peter R. Nelson and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with Mathematics categories.


The analysis of means (ANOM) is a graphical procedure used to quantify differences among treatment groups in a variety of experimental design and observational study situations. The ANOM decision chart allows one to easily draw conclusions and interpret results with respect to both statistical and practical significance. It is an excellent choice for multiple comparisons of means, rates, or proportions and can be used with both balanced and unbalanced data. Key advances in ANOM procedures that have appeared only in technical journals during the last 20 years are included in this first comprehensive modern treatment of the ANOM containing all of the needed information for practitioners to understand and apply ANOM.



Adaptive Treatment Strategies In Practice Planning Trials And Analyzing Data For Personalized Medicine


Adaptive Treatment Strategies In Practice Planning Trials And Analyzing Data For Personalized Medicine
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Author : Michael R. Kosorok
language : en
Publisher: SIAM
Release Date : 2015-12-08

Adaptive Treatment Strategies In Practice Planning Trials And Analyzing Data For Personalized Medicine written by Michael R. Kosorok and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-08 with Medical categories.


Personalized medicine is a medical paradigm that emphasizes systematic use of individual patient information to optimize that patient's health care, particularly in managing chronic conditions and treating cancer. In the statistical literature, sequential decision making is known as an adaptive treatment strategy (ATS) or a dynamic treatment regime (DTR). The field of DTRs emerges at the interface of statistics, machine learning, and biomedical science to provide a data-driven framework for precision medicine.? The authors provide a learning-by-seeing approach to the development of ATSs, aimed at a broad audience of health researchers. All estimation procedures used are described in sufficient heuristic and technical detail so that less quantitative readers can understand the broad principles underlying the approaches. At the same time, more quantitative readers can implement these practices. This book provides the most up-to-date summary of the current state of the statistical research in personalized medicine; contains chapters by leaders in the area from both the statistics and computer sciences fields; and also contains a range of practical advice, introductory and expository materials, and case studies.?