ISBN: 9780471563754 - theory of preliminary test and stein-type estimation with applications (wiley series in probability and statistics) (8 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. pp. 656 Figures, Illus.

Zustand: New. Dr. A. K. Md. Ehsanes Saleh has a very distinguished career in education and research. He is presently Distinguished Research Professor in the School of Mathematics and Statistics at Carleton University. He received his Ph.D. (Mathematics/Statistics) in 196.

Hardcover. Zustand: Brand New. 1st edition. 656 pages. 9.25x6.25x1.25 inches. In Stock.

Zustand: New. Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied statistical inference. Series: Wiley Series in Probability and Statistics. Num Pages: 656 pages, Illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 35. Weight in Grams: 1022. . 2006. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. Neuware - Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied statistical inference. It is an in-depth introduction to the estimation theory for graduate students, practitioners, and researchers in various fields, such as statistics, engineering, social sciences, and medical sciences. Coverage of the material is designed as a first step in improving the estimates before applying full Bayesian methodology, while problems at the end of each chapter enlarge the scope of the applications.This book contains clear and detailed coverage of basic terminology related to various topics, including:\* Simple linear model; ANOVA; parallelism model; multiple regression model with non-stochastic and stochastic constraints; regression with autocorrelated errors; ridge regression; and multivariate 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.…