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Essential Statistical Concepts for the Quality Professional, Stamatis, D. H.


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Автор: Stamatis, D. H.
Название:  Essential Statistical Concepts for the Quality Professional
ISBN: 9780367381424
Издательство: Taylor&Francis
Классификация:
ISBN-10: 0367381427
Обложка/Формат: Paperback
Страницы: 512
Вес: 2.08 кг.
Дата издания: 27.09.2019
Язык: English
Размер: 234 x 155 x 28
Читательская аудитория: Tertiary education (us: college)
Основная тема: SPC/Reliability/Quality Control
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

The essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This means not only do we have to fix the problem at hand but we also have to identify why the failure occurred and what was the opportunity to apply the appropriate knowledge to avoid the problem in the future. Essential Statistical Concepts for the Quality Professional offers a new non-technical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies and tools for the future.

Written by an expert with more than 30 years of experience in management, quality training, and consulting, the book examines the fundamentals of statistical understanding, and by doing so demonstrates the importance of using statistics in the decision making process. The author points out pitfalls to keep in mind when undertaking an experiment for improvement and explains how to use statistics in improvement endeavors. He discusses data interpretation, common tests and confidence intervals, and how to plan experiments for improvement. The book expands the notion of experimentation by dealing with mathematical models such as regression to optimize the improvement and understand the relationship between several factors. It emphasizes the need for sampling and introduces specific techniques to make sure accuracy and precision of the data is appropriate and applicable for the study at hand.

The authors approach is somewhat new and unique; however, he details tools and methodologies that can be used to evaluate the system for prevention. These tools and methodologies focus on structured, repeatable processes that can be instrumental in finding real, fixable causes of the human errors and equipment failures that lead to quality issues.



The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 69870.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Essential Statistical Inference

Автор: Boos
Название: Essential Statistical Inference
ISBN: 1461448174 ISBN-13(EAN): 9781461448174
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Поставка под заказ.
Описание: A superb resource on statistical inference for researchers or students, this book has R code throughout, including in sample problems, and an appendix of derived notation and formulae. It covers core topics as well as modern aspects such as M-estimation.

Statistical Concepts & Methods (WSE)

Автор: Bhattacharyya
Название: Statistical Concepts & Methods (WSE)
ISBN: 0471072044 ISBN-13(EAN): 9780471072041
Издательство: Wiley
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Цена: 248110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A non--mathematical introductory statistics text that combines clear explanation of concepts, an extensive coverage of useful statistical techniques, and numerous illustrations with live data from diverse fields. Emphasizes assumptions and limitations of the statistical methods so that violations of assumptions can be avoided.

Statistical concepts - a second course

Автор: Hahs-vaughn, Debbie L. (university Of Central Florida, Usa) Lomax, Richard G. (the Ohio State University, Usa)
Название: Statistical concepts - a second course
ISBN: 0367204096 ISBN-13(EAN): 9780367204099
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Statistical Concepts: A Second Course presents the advanced chapters from An Introduction to Statistical Concepts, 4th Edition, designed for second and upper level statistics courses.

Statistical concepts - a second course

Автор: Hahs-vaughn, Debbie L. (university Of Central Florida, Usa) Lomax, Richard G. (the Ohio State University, Usa)
Название: Statistical concepts - a second course
ISBN: 0367204045 ISBN-13(EAN): 9780367204044
Издательство: Taylor&Francis
Рейтинг:
Цена: 132710.00 T
Наличие на складе: Невозможна поставка.
Описание: Statistical Concepts: A Second Course presents the advanced chapters from An Introduction to Statistical Concepts, 4th Edition, designed for second and upper level statistics courses.

Statistical Concepts - A First Course

Автор: Hahs-Vaughn Debbie L
Название: Statistical Concepts - A First Course
ISBN: 0367203995 ISBN-13(EAN): 9780367203993
Издательство: Taylor&Francis
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Цена: 59190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Statistical Concepts: A First Course presents the introductory chapters from An Introduction to Statistical Concepts, 4th Edition, designed for first and lower level statistics courses.

Introduction to statistical concepts

Автор: Lomax, Richard G (the Ohio State University, Usa) Hahs-vaughn, Debbie L. Hahs-vaughn, Debbie L. (university Of Central Florida, Usa) Lomax, Richard G.
Название: Introduction to statistical concepts
ISBN: 1138650552 ISBN-13(EAN): 9781138650558
Издательство: Taylor&Francis
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Цена: 122490.00 T
Наличие на складе: Невозможна поставка.
Описание: This comprehensive, flexible text is used in both one- and two-semester courses to review introductory through intermediate statistics. Instructors select the topics that are most appropriate for their course. Its conceptual approach helps students more easily understand the concepts and interpret SPSS and research results.

Statistical Concepts - A First Course

Автор: Hahs-Vaughn, Debbie L. , Lomax, Richard G.
Название: Statistical Concepts - A First Course
ISBN: 0367203960 ISBN-13(EAN): 9780367203962
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Невозможна поставка.
Описание: Statistical Concepts: A First Course presents the introductory chapters from An Introduction to Statistical Concepts, 4th Edition, designed for first and lower level statistics courses.

Visualizing Statistical Models And Concepts

Автор: Farebrother, R.W. , Schyns, Michael
Название: Visualizing Statistical Models And Concepts
ISBN: 0367447053 ISBN-13(EAN): 9780367447052
Издательство: Taylor&Francis
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Цена: 65320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book, the author finds that many of the important concepts of mathematical statistics can be associated with physical models; and that the optimality criteria of statistical estimation procedures can often be interpreted in terms of the concept of potential energy.

Statistical decision problems: selected concepts and portfolio safeguard case studies

Автор: Zabarankin, Michael Urias`ev, S. P.
Название: Statistical decision problems: selected concepts and portfolio safeguard case studies
ISBN: 1461484707 ISBN-13(EAN): 9781461484707
Издательство: Springer
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Цена: 88500.00 T
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Описание: Statistical Decision Problems

An Introduction to Statistical Learning

Автор: James Gareth
Название: An Introduction to Statistical Learning
ISBN: 1461471370 ISBN-13(EAN): 9781461471370
Издательство: Springer
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Цена: 60550.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and clustering.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 60190.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.


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