Modern Industrial Statistics

Synopsis

Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experiments, and reliability.Graduate and post-graduate students in the areas of statistical quality and engineering, as well as industrial statisticians, researchers and practitioners in these fields will all benefit from the comprehensive combination of theoretical and practical information provided in this single volume.Modern Industrial Statistics: With applications in R, MINITAB and JMP:Combines a practical approach with theoretical foundations and computational support.Provides examples in R using a dedicated package called MISTAT, and also refers to MINITAB and JMP.Includes exercises at the end of each chapter to aid learning and test knowledge.Provides over 40 data sets representing real-life case studies.Is complemented by a comprehensive website providing an introduction to R, and installations of JMP scripts and MINITAB macros, including effective tutorials with introductory material: www.wiley.com/go/modern_industrial_statistics.

Copyright:

2014

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781118763698

Related ISBNs:

9781118456064

Publisher:

Wiley

Date of Addition:

06/18/14

Copyrighted By:

John Wiley & Sons

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Mathematics and Statistics

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.