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The study and applications of industrial statistics have grown significantly over the last two decades. The development of methods and techniques for quantitatively handling problems that arise in industry has become increasingly important and one of the most active areas of statistical research. Handbook of Applied and Industrial Statistics presents the most fundamental and common statistical methods used in industrial applications. It introduces a variety of statistical methods, uses well-motivated problems and practical examples of the methods presented, and includes the tables and graphs necessary for implementation of some of the techniques.
List of contents
Taguchi Designs. Factorial Experiments. Time Series. Analysis of Censored and Truncated Experiments. Non-Destructive Testing. One-Shot Device Testing. Start-Up Demonstration Testing. Sampling Plans. Control Charts. Multivariate Quality Control. Robust Quality Control. Process Control and Monitoring. Principal Component Analysis. Ranking and Selection Methods. Regression Diagnostics.
Summary
The study and applications of industrial statistics have grown significantly over the decades. This book presents the fundamental and common statistical methods used in industrial applications. It introduces a variety of statistical methods, and uses well-motivated problems and practical examples of the methods presented.
