Description
Book SynopsisModern Industrial Statistics
The new edition of the prime reference on the tools of statistics used in industry and services, integrating theoretical, practical, and computer-based approaches
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 ana
Table of Contents
Preface to the third edition
Preface to the second edition (abbreviated)
Preface to the first edition (abbreviated)
List of abbreviations
Part A: Modern Statistics: A Computer Based Approach
1 Statistics and Analytics in Modern Industry
2 Analyzing Variability: Descriptive Statistics
3 Probability Models and Distribution Functions
4 Statistical Inference and Bootstrapping
5 Variability in Several Dimensions and Regression Models
6 Sampling for Estimation of Finite Population Quantities
7. Time Series Analysis and Prediction
8 Modern analytic methods
Part B: Modern Industrial Statistics: Design and Control of Quality and Reliability
9 The Role of Industrial Analytics in Modern Industry
10 Basic Tools and Principles of Process Control
11 Advanced Methods of Statistical Process Control
12 Multivariate Statistical Process Control
13 Classical Design and Analysis of Experiments
14 Quality by Design
15 Computer Experiments
16 Reliability Analysis
17 Bayesian Reliability Estimation and Prediction
18 Sampling Plans for Batch and Sequential Inspection
List of R packages
References
Author index
Subject index
Solution manual
Appendices (available on book�s website)
Appendix I Intro to R Appendix II Intro to MINITAB and Matrix Algebra Appendix III R scripts Appendix IV mistat Appendix V csv Files Appendix VI MINITAB macros Appendix VII JMP scripts
