Theory of Preliminary Test and Stein-Type Estimation with Applications

Theory of Preliminary Test and Stein-Type Estimation withApplications provides a com-prehensive account of the theory andmethods of estimation in a variety of standard models used inapplied statistical inference. It is an in-depth introduction tothe estimation theory for graduate students, practitioners, andresearchers in various fields, such as statistics, engineering, social sciences, and medical sciences. Coverage of the material isdesigned as a first step in improving the estimates before applyingfull Bayesian methodology, while problems at the end of eachchapter enlarge the scope of the applications.
This book contains clear and detailed coverage of basic terminologyrelated to various topics, including:
* Simple linear model; ANOVA; parallelism model; multipleregression model with non-stochastic and stochastic constraints; regression with autocorrelated errors; ridge regression; andmultivariate and discrete data models
* Normal, non-normal, and nonparametric theory of estimation
* Bayes and empirical Bayes methods
* R-estimation and U-statistics
* Confidence set estimation