Statistical Decision Theory (Record no. 38480)

MARC details
000 -LEADER
fixed length control field 03818n a2200349#a 4500
001 - CONTROL NUMBER
control field 5000033
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221213140637.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2008 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387731940
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-387-73194-0
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number 978-0-387-73194-0
090 ## - IMPA CODE FOR CLASSIFICATION SHELVES
IMPA CODE FOR CLASSIFICATION SHELVES Matemáticas Gerais-(inclusive alguns textos elementares sobre assuntos específicos)
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Miescke, Klaus-J
9 (RLIN) 9234
245 10 - TITLE STATEMENT
Title Statistical Decision Theory
Medium [electronic resource]:
Remainder of title Estimation, Testing, and Selection/
Statement of responsibility, etc. by Klaus-J. Miescke, F. Liese.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York:
Name of publisher, distributor, etc. Springer New York,
Date of publication, distribution, etc. 2008.
300 ## - PHYSICAL DESCRIPTION
Other physical details digital.
490 0# - SERIES STATEMENT
Series statement Springer Series in Statistics,
International Standard Serial Number 0172-7397
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Statistical models -- Tests in models with monotonicity properties -- Statistical decision theory -- Comparison of models, reduction by sufficiency -- Invariant statistical decision models -- Large sample approximations of models and decisions -- Estimation -- Testing -- Selection .
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. 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. 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 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
9 (RLIN) 43790
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics
9 (RLIN) 43558
697 ## - LOCAL SUBJECT
Local Subject Matemáticas Gerais-
Description subdivision (inclusive alguns textos elementares sobre assuntos específicos)
Linkage 23752
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Liese, Friedrich,
Dates associated with a name 1944-
9 (RLIN) 43394
710 1# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service).
9 (RLIN) 8857
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780387731933
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Springer series in statistics.
9 (RLIN) 44309
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-0-387-73194-0">http://dx.doi.org/10.1007/978-0-387-73194-0</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Instituto de Matemática Pura e Aplicada
Koha item type E-Book

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