The purpose of this volume of the Handbook of Statistics is to provide the reader with the state-of-the-art of statistical design and methods of analysis that are available, as well as the frontiers of research activities in developing new and better methods for performing such tasks. Scientific experiments in medicine, industry, agriculture, computer and many other disciplines are covered. Statistical methods like parametric, semiparametric, nonparametric, adaptive, univariate, multivariate, frequentist and Bayesian, are discussed. Block, row-column, nested, factorial, response surface, spatial, robust, optimum, search, singlestage, multistage, exact and approximate designs are presented. The chapters are written in expository style and will be of value to students, researchers, consultants and practitioners in universities as well as industries.
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