Modern industrial statistics : with applications in R, MINITAB and JMP /
"Modern Industrial Statistics is a leading reference and guide to the statistics tools widely used in industry and services. Designed to help professionals and students easily access relevant theoretical and practical information in a single volume, this standard resource employs a computer-int...
| Main Authors: | , , |
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| Format: | Book |
| Language: | English |
| Published: |
Hoboken, NJ :
John Wiley & Sons, Inc,
2021.
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| Edition: | Third edition. |
| Series: | Statistics in practice.
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| Subjects: |
| Summary: | "Modern Industrial Statistics is a leading reference and guide to the statistics tools widely used in industry and services. Designed to help professionals and students easily access relevant theoretical and practical information in a single volume, this standard resource employs a computer-intensive approach to industrial statistics and provides numerous examples and procedures in the popular R language and for MINITAB and JMP statistical analysis software. Divided into two parts, the text covers the principles of statistical thinking and analysis, bootstrapping, predictive analytics, Bayesian inference, time series analysis, acceptance sampling, statistical process control, design and analysis of experiments, simulation and computer experiments, and reliability and survival analysis. Part A, on computer age statistical analysis, can be used in general courses on analytics and statistics. Part B is focused on industrial statistics applications. -- |
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| Physical Description: | xxv, 849 pages : illustrations (black and white) ; 25 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119714903 1119714907 |