Frontiers in Statistical Quality Control, Hans-Joachim Lenz; G. Barry Wetherill; Peter-Theod

Автор: Malley
Название: Statistical Learning for Biomedical Data
ISBN: 0521699096 ISBN-13(EAN): 9780521699099
Издательство: Cambridge Academ
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Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.

Автор: Hans-Joachim Lenz; Peter-Th. Wilrich; Wolfgang Sch
Название: Frontiers in Statistical Quality Control 9
ISBN: 3790823791 ISBN-13(EAN): 9783790823790
Издательство: Springer
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Описание: The twenty-three papers in this volume are carefully selected, reviewed and revised for this volume, and are divided into two parts: Part 1: "On-line Control" with subchapters 1.1 "Control Charts" and 1.2 "Surveillance Sampling and Sampling Plans" and Part 2: "Off-line Control."

Автор: Sven Knoth; Wolfgang Schmid
Название: Frontiers in Statistical Quality Control 11
ISBN: 3319123548 ISBN-13(EAN): 9783319123547
Издательство: Springer
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Описание: The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments.

Автор: Hans-Joachim Lenz; Peter-Theodor Wilrich
Название: Frontiers in Statistical Quality Control 5
ISBN: 3790809845 ISBN-13(EAN): 9783790809848
Издательство: Springer
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Описание: Like the preceding volumes, and met with a lively response, the present volume is collecting contributions stressed on methodology or successful industrial applications. The papers are classified under four main headings: sampling inspection, process quality control, data analysis and process capability studies and finally experimental design.

Автор: Ledolter
Название: Statistical Quality Control - Stategies and Tools for Continual Improvement
ISBN: 0471183784 ISBN-13(EAN): 9780471183785
Издательство: Wiley
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Описание: This text provides the reader with a general and widely-applicable problem solving strategy for use in quality improvement. It covers a variety of statistical and "non-statistical" problem-solving tools, and discusses techniques that are useful when problems are solved by groups or teams of people.

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.

Автор: Sven Knoth; Wolfgang Schmid
Название: Frontiers in Statistical Quality Control 11
ISBN: 3319355457 ISBN-13(EAN): 9783319355450
Издательство: Springer
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Цена: 13275.00 р.
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Описание: The main focus of this edited volume is on three major areas of statistical quality control: statistical process control (SPC), acceptance sampling and design of experiments.

Автор: Montgomery
Название: Statistical Quality Control: A Modern Introduction, International Student Version, 6th Edition
ISBN: 0470233974 ISBN-13(EAN): 9780470233979
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: Covering everything from basic principles to state-of-the-art concepts and applications, this book arms readers with a comprehensive understanding of modern statistical methods for quality control and improvement. The authors cover basic and advanced methods of statistical process control (SPC), show how statistically designed experiments can be used for process design, development and improvement, and explore acceptance sampling. Throughout the pages, guidelines are provided for selecting the correct statistical technique to use in a variety of situations.

Автор: Myers, Jerome L
Название: Research design and statistical analysis
ISBN: 0805864318 ISBN-13(EAN): 9780805864311
Издательство: Taylor&Francis
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Описание: This interdisciplinary group of scholars-anthropologists, archaeologists, architects, educators, lawyers, heritage administrators, policy analysts, and consultants-make the first attempt to define and assess heritage values on a local, national and global level. Chapters range from the theoretical to policy frameworks to case studies of heritage practice, written by scholars from eight countries.