English
Deutsch
Français
简体中文
繁體中文
Categories
Study
Novel
Nonfiction
Health
Tutorial
Entertainment
Business
Magazine
Arts & Design
Audiobooks & Video Training
Cultures & Languages
Family & Home
Law & Politics
Lyrics & Music
Software Related
eBook Torrents
Uncategorized
Share With Friends
Archive by Date
2012-08-05
2012-08-04
2012-08-03
2012-08-02
2012-08-01
2012-07-31
2012-07-30
2012-07-29
2012-07-28
Search Tag
Newest
Methods for Finding Zeros in Polynomials
Lectures on Stochastic Flows and Applications
Educational Psychology by Edward L. Thorndike
The Last Days of Tolstoy by V. G. Chertkov
Globalization and Responsibility
Lectures on Siegel Modular Forms and Representation by Quadratic Forms
Lectures on Topics In One-Parameter Bifurcation Problems
History of the Incas by Pedro Sarmiento de Gamboa
Linear Algebra: Theorems and Applications
Lectures on Stochastic Differential Equations and Malliavin Calculus
A Short Biographical Dictionary of English Literature
Lectures on Sieve Methods and Prime Number Theory
Dollars and Sense by William Crosbie Hunter
The Theory of the Theatre by Clayton Hamilton
The Mathematics of Investment
Occupiers of Wall Street: Losers or Game Changers
The Solution of the Pyramid Problem
Lectures on Moduli of Curves
Walden by Henry David Thoreau
Useful Links
Statistical Decision Theory: Estimation, Testing, and Selection
Posted on 2010-03-15
|  |
More By Friedrich Liese, Klaus-J. Miescke This monograph is written for advanced graduate students, Ph.D. students, and researchers in mathematical statistics and decision theory. All major topics are introduced on a fairly elementary level and then developed gradually to higher levels. The book is self-contained as it provides full proofs, worked-out examples, and problems. It can be used as a basis for graduate courses, seminars, Ph.D. programs, self-studies, and as a reference book. The authors present a rigorous account of the concepts and a broad treatment of the major results of classical finite sample size decision theory and modern asymptotic decision theory. Highlights are systematic applications to the fields of parameter estimation, testing hypotheses, and selection of populations. With its broad coverage of decision theory that includes results from other more specialized books as well as new material, this book is one of a kind and fills the gap between standard graduate texts in mathematical statistics and advanced monographs on modern asymptotic theory. One goal is to present a bridge from the classical results of mathematical statistics and decision theory to the modern asymptotic decision theory founded by LeCam. The striking clearness and powerful applicability of LeCam’s theory is demonstrated with its applications to estimation, testing, and selection on an intermediate level that is accessible to graduate students. Another goal is to present a broad coverage of both the frequentist and the Bayes approach in decision theory. Relations between the Bayes and minimax concepts are studied, and fundamental asymptotic results of modern Bayes statistical theory are included. The third goal is to present, for the first time in a book, a well-rounded theory of optimal selections for parametric families.
Rating:
2.5 out of 5 by Book123 |
| Download Links | |
| Server | Status |
|---|---|
| Direct Download Link 1 | Alive |
| Direct Download Link 2 | Alive |
| pdf, full bookmarks, RS link Download | Alive |
|
Buy This Book at Best Price >> | |
Related Articles
 | Technical Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory Author: Steven M. KayPublisher: Prentice Hall PTRPublish Date: 26 March, 1993ISBN: 0133457117 |
 | Health Introduction to Robust Estimation and Hypothesis Testing, Second Edition (Statistical Modeling and Decision Science) Publisher: Academic Press; 2 editionLanguage: EnglishISBN: 0127515429Paperback: 608 pagesData: December 22, 2004Format: PDFDescription: "...greatly enhanced...almost twice as large as the first edition. This would now seem to be a good book ... |
 | Science/Engineering Introduction to Statistical Decision Theory John W. Pratt, Howard Raiffa, Robert Schlaifer " Introduction to Statistical Decision Theory" The MIT Press | 1995-03-27 | ISBN: 0262161443 | 895 pages | Html | 8 MB The Bayesian revolution in statistics—where statistics is integrated ... |
 | Science/Engineering Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory (Repost) Fundamentals of Statistical Signal Processing, Volume I: Estimation Theory Publisher: Prentice Hall PTR | ISBN: 0133457117 | edition 1993 | PDF | 625 pages | 14,9 mbA unified presentation of parameter estimation for those involved in the d ... |
| Science/Engineering Fundamentals of Statistical Signal Processing-Volume I-Estimation Theory
|
 | Mathematics Statistical Decision Theory and Bayesian Analysis James O. Berger ¡°Statistical Decision Theory and Bayesian Analysis" Springer | 1993-03-25 | ISBN: 0387960988 | 617 pages | Djvu | 6,3 Mb "The outstanding strengths of the book are its topic coverage, references, exposition, examples ... |
Comments (0)
