DISCLOSURE:
When you click on links to various merchants on this site and make a purchase, this can result in this site earning a commission at no extra cost to you. Affiliate programs and affiliations include, but are not limited to, the eBay Partner Network, Amazon and Alibris.
×
The link of the search results:
Please copy and share (some browsers may have copied to Clipboard)
ISBN10: 0387731938, ISBN13: 9780387731933, [publisher: Springer] Hardcover Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers. [Tucson, AZ, U.S.A.] [Publication Year: 2008]
New York, NY Springer 2008 2008 ed. Hard cover New. Glued binding. Paper over boards. 677 p. Contains: Unspecified, Tables, black & white. Springer Statistics.
ISBN10: 0387731938, ISBN13: 9780387731933, [publisher: Springer] Hardcover pp. 700 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam [Hounslow, United Kingdom] [Publication Year: 2008]
ISBN10: 0387731938, ISBN13: 9780387731933, [publisher: Springer New York] Hardcover Druck auf Anfrage Neuware - Printed after ordering - This monograph is written for advanced Master's students, Ph.D. students, and researchers in mathematical statistics and decision theory. It should be useful not only as a basis for graduate courses, seminars, Ph.D. programs, and self-studies, but also as a reference tool. Attheveryleast,readersshouldbefamiliar withbasicconceptscoveredin both advanced undergraduate courses on probability and statistics and int- ductory graduate-level courses on probability theory, mathematical statistics, and analysis. Most statements and proofs appear in a form where standard arguments from measure theory and analysis are su cient. When additional information is necessary, technical tools, additional measure-theoretic facts, and advanced probabilistic results are presented in condensed form in an - pendix. In particular, topics from measure theory and from the theory of weak convergence of distributions are treated in detail with reference to m- ern books on probability theory, such as Billingsley (1968), Kallenberg (1997, 2002), and Dudley (2002). Building on foundational knowledge, this book acquaints readers with the concepts of classical nite sample size decision theory and modern asymptotic decision theory in the sense of LeCam. To this end, systematic applications to the elds of parameter estimation, testing hypotheses, and selection of ...
ISBN10: 0387731938, ISBN13: 9780387731933, [publisher: Springer New York] Hardcover Druck auf Anfrage Neuware - Printed after ordering - This monograph is written for advanced Master's students, Ph.D. students, and researchers in mathematical statistics and decision theory. It should be useful not only as a basis for graduate courses, seminars, Ph.D. programs, and self-studies, but also as a reference tool. Attheveryleast,readersshouldbefamiliar withbasicconceptscoveredin both advanced undergraduate courses on probability and statistics and int- ductory graduate-level courses on probability theory, mathematical statistics, and analysis. Most statements and proofs appear in a form where standard arguments from measure theory and analysis are su cient. When additional information is necessary, technical tools, additional measure-theoretic facts, and advanced probabilistic results are presented in condensed form in an - pendix. In particular, topics from measure theory and from the theory of weak convergence of distributions are treated in detail with reference to m- ern books on probability theory, such as Billingsley (1968), Kallenberg (1997, 2002), and Dudley (2002). Building on foundational knowledge, this book acquaints readers with the concepts of classical nite sample size decision theory and modern asymptotic decision theory in the sense of LeCam. To this end, systematic applications to the elds of parameter estimation, testing hypotheses, and selection of ...
Hard Cover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; The Statistical Decision Theory: Estimation, Testing, and Selection. ISBN 0387731938 9780387731933 [GB]
Springer , pp. 700 . Hardback. New. Springer ISBN 0387731938 9780387731933 [US]
description size:
DISCLOSURE: When you use one of our links to make a purchase, we may earn a commission at no extra cost to you. As an Amazon Associate, AddALL earn commission from qualifying Amazon purchases.
