Statistical Decision Theory: Estimation, Testing, and Selection (Record no. 1254)

000 -LEADER
fixed length control field 02910nam a2200277Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200115111416.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191008
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0-387-73193-8
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Liese, Friedrich
9 (RLIN) 3608
Personal name Mieschke, Klaus-J.
9 (RLIN) 6434
245 #0 - TITLE STATEMENT
Title Statistical Decision Theory: Estimation, Testing, and Selection
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2008
Name of publisher, distributor, etc. Springer,
Place of publication, distribution, etc. Berlin et al.,
300 ## - PHYSICAL DESCRIPTION
Extent 677 pages
340 ## - PHYSICAL MEDIUM
Location within medium C4 34
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Statistics
9 (RLIN) 5438
520 ## - SUMMARY, ETC.
Summary, etc. 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.<br/><br/>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.<br/><br/>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.<br/><br/>Friedrich Liese, University of Rostock, and Klaus-J. Miescke, University of Illinois at Chicago, are professors of mathematical statistics who have published numerous research papers in mathematical statistics and decision theory over the past three decades.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element decision theory
9 (RLIN) 679
Topical term or geographic name entry element mathematical statistics
9 (RLIN) 6435
Topical term or geographic name entry element statistical method
9 (RLIN) 3609
Topical term or geographic name entry element statistical theory
9 (RLIN) 6436
Topical term or geographic name entry element asymptotic decision theory
9 (RLIN) 6437
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-0-387-73194-0#toc">https://link.springer.com/book/10.1007/978-0-387-73194-0#toc</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Monography
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Library Library 2019-10-08 C4 34 101844 2019-10-08 2019-10-08 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

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