Books in the Statistical Modeling and Decision Science series

Written for those with intermediate and advanced statistical knowledge, this is a guide to extreme value theory in engineering. It covers classical methods with advances in the field. It also contains examples that illustrate the theoretical results, and takes the reader from simple applications through to complex cases of dependence.

With an index of notations at the beginning, this book explains the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. It also features a description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques.

These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data.

These edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data.

On-line and off-line quality control are the two methods used to discern a products reliability of quality. Though they are disparate techniques, both methods are used to achieve the same result. This work integrates the two techniques to present coverage of statistical methods of quality control.