Modern Industrial Statistics (eBook)

with applications in R, MINITAB and JMP

Daniele Amberti, Ron S. Kenett, Shelemyahu Zacks (Autoren)

eBook Download: PDF

2013 | 2. Auflage
592 Seiten
Wiley (Verlag)
978-1-118-76368-1 (ISBN)

Infos

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.

RON S. KENETT, The KPA Group, Israel, University of Turin, Italy and NYU Center for Risk Engineering, New York, USA
SHELEMYAHU ZACKS, Binghamton University, Binghamton, USA
With contributions from DANIELE AMBERTI, Turin, Italy

Inhalt

Preface to first edition

Preface to second edition

List of Abbreviations

Part I: Principles of Statistical Thinking and Analysis

1. The Role of Statistical Methods in Modern Industry and Services

2. Analyzing Variability: Descriptive Statistics

3. Probability Models and Distribution Functions

4. Statistical Inference and Bootstrapping

5. Variability in Several Dimensions and Regression Models

Part II: Acceptance Sampling

6. Estimation in Finite Populations

7. Sampling Plans for Product Inspection

Part III: Statistical Process Control

8. Basic Tools and Principles of Process Control

9. Advanced methods of Statistical Process Control

10. Multivariate Statistical Process Control

Part IV: Design and Analysis of Experiments

11. Classical Design and Analysis of experiments

12. Quality by Design

13. Computer Experiments

Part V: Reliability

14. Reliability Analysis

15. Bayesian Reliability Estimation and Prediction

References

Subject Index

Author Index

Also available on book's website: www.wiley.com/go/modern_industrial_statistics

Appendix I: Introduction to R, by Stefano Iacus

Appendix II: Basic MINITAB commands and a review of matrix algebra for Statistics

Appendix III: R code included in the book, also available on the R CRAN website as MistatMain.R

Appendix IV: Source version of MistatMain.R (mistat_1.0.tar.gz)

Appendix V: Data sets as csv files (DatFiles.zip)

Appendix VI: MINITAB macros

Appendix VII: JMP scripts, by Ian Cox

Appendix VIII: Solution manual

Rezensionen

"This book delivers on its promise of providing atheoretical, practical, and computer-based approach to industrialstatistics." (Journal of Quality Technology, 1 October2014)

Produkt-Details

• Erscheint lt. Verlag: 13.11.2013
• Reihe/Serie: Statistics in Practice
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Themenwelt: Technik
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Schlagworte: Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Engineering statistics • Finanz- u. Wirtschaftsstatistik • Qualität u. Zuverlässigkeit • Qualität u. Zuverlässigkeit • Quality & Reliability • Statistics • Statistics for Finance, Business & Economics • Statistik • Statistik in den Ingenieurwissenschaften
• ISBN-10: 1-118-76368-8 / 1118763688
• ISBN-13: 978-1-118-76368-1 / 9781118763681