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Statistical Process Control, Mundwiller, Stephen (Managing Director, SME Quality Resources LLC, St. Louis, MO USA)


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Автор: Mundwiller, Stephen (Managing Director, SME Quality Resources LLC, St. Louis, MO USA)
Название:  Statistical Process Control
ISBN: 9780367781774
Издательство: Taylor&Francis
Классификация:





ISBN-10: 0367781778
Обложка/Формат: Paperback
Страницы: 104
Вес: 0.21 кг.
Дата издания: 31.03.2021
Серия: Continuous improvement series
Язык: English
Размер: 234 x 156
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: A pragmatic approach
Рейтинг:
Поставляется из: Европейский союз
Описание: This book will explain these concepts by using a simple methodology that will bring a much greater level of understanding to those that use it by providing a detailed description of the method, using common language, real-world examples to illustrate the concept, and instructions on easy implementation.


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: 10480.00 р.
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.

Introduction to statistical learning

Автор: James, Gareth Witten, Daniela Hastie, Trevor Tibsh
Название: Introduction to statistical learning
ISBN: 1071614177 ISBN-13(EAN): 9781071614174
Издательство: Springer
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Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more.

Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers.

An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naive Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.

Computer Age Statistical Inference, Student Edition

Автор: Bradley Efron , Trevor Hastie
Название: Computer Age Statistical Inference, Student Edition
ISBN: 1108823416 ISBN-13(EAN): 9781108823418
Издательство: Cambridge Academ
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Цена: 5069.00 р.
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Описание: Computing power has revolutionized the theory and practice of statistical inference. Now in paperback, and fortified with 130 class-tested exercises, this book explains modern statistical thinking from classical theories to state-of-the-art prediction algorithms. Anyone who applies statistical methods to data will value this landmark text.

Statistical Process Control in Industry

Автор: R.J. Does; C.B. Roes; A. Trip
Название: Statistical Process Control in Industry
ISBN: 9048151708 ISBN-13(EAN): 9789048151707
Издательство: Springer
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Цена: 19559.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.

Introduction to Statistical Process Control

Автор: Qiu
Название: Introduction to Statistical Process Control
ISBN: 1439847991 ISBN-13(EAN): 9781439847992
Издательство: Taylor&Francis
Рейтинг:
Цена: 17609.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

A major tool for quality control and management, statistical process control (SPC) monitors sequential processes, such as production lines and Internet traffic, to ensure that they work stably and satisfactorily. Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon the more established techniques. The author--a leading researcher on SPC--shows how these methods can handle new applications.

After exploring the role of SPC and other statistical methods in quality control and management, the book covers basic statistical concepts and methods useful in SPC. It then systematically describes traditional SPC charts, including the Shewhart, CUSUM, and EWMA charts, as well as recent control charts based on change-point detection and fundamental multivariate SPC charts under the normality assumption. The text also introduces novel univariate and multivariate control charts for cases when the normality assumption is invalid and discusses control charts for profile monitoring. All computations in the examples are solved using R, with R functions and datasets available for download on the author's website.

Offering a systematic description of both traditional and newer SPC methods, this book is ideal as a primary textbook for a one-semester course in disciplines concerned with process quality control, such as statistics, industrial and systems engineering, and management sciences. It can also be used as a supplemental textbook for courses on quality improvement and system management. In addition, the book provides researchers with many useful, recent research results on SPC and gives quality control practitioners helpful guidelines on implementing up-to-date SPC techniques.

Statistical Process Control

Автор: Mundwiller, Stephen||
Название: Statistical Process Control
ISBN: 1498799132 ISBN-13(EAN): 9781498799133
Издательство: Taylor&Francis
Рейтинг:
Цена: 16078.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book will explain these concepts by using a simple methodology that will bring a much greater level of understanding to those that use it by providing a detailed description of the method, using common language, real-world examples to illustrate the concept, and instructions on easy implementation.

Tools of Total Quality

Автор: Lyonnet
Название: Tools of Total Quality
ISBN: 0412376903 ISBN-13(EAN): 9780412376900
Издательство: Springer
Рейтинг:
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: For a long time, quality has been one of industry`s main preoccupations. Consequently it is essential to look for new directions in which to progress, taking account of the methods for achieving quality that have been developed in recent years.

Statistical Process Control in Industry

Автор: R.J. Does; C.B. Roes; A. Trip
Название: Statistical Process Control in Industry
ISBN: 0792355709 ISBN-13(EAN): 9780792355700
Издательство: Springer
Рейтинг:
Цена: 19559.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies.

Tools of Total Quality

Автор: Lyonnet
Название: Tools of Total Quality
ISBN: 9401053855 ISBN-13(EAN): 9789401053853
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: For a long time, quality has been one of industry`s main preoccupations. Consequently it is essential to look for new directions in which to progress, taking account of the methods for achieving quality that have been developed in recent years.

Statistical Process Control

Автор: Oakland John
Название: Statistical Process Control
ISBN: 1138064262 ISBN-13(EAN): 9781138064263
Издательство: Taylor&Francis
Рейтинг:
Цена: 7195.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Offering a complete instructional guide to SPC for professional quality managers and students alike, this book offers all the latest tools, techniques and philosophies behind process management and improvement.

Statistical Process Control

Автор: Oakland
Название: Statistical Process Control
ISBN: 1138064254 ISBN-13(EAN): 9781138064256
Издательство: Taylor&Francis
Рейтинг:
Цена: 26796.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Offering a complete instructional guide to SPC for professional quality managers and students alike, this book offers all the latest tools, techniques and philosophies behind process management and improvement.

Distribution-Free Methods for Statistical Process Monitoring and Control

Автор: Koutras Markos V., Triantafyllou Ioannis S.
Название: Distribution-Free Methods for Statistical Process Monitoring and Control
ISBN: 3030250806 ISBN-13(EAN): 9783030250805
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes.


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