ENGLISH

Mathematical statistics: basic ideas and selected topics

By Peter J. Bickel , Kjell A. Doksum

Book information

Publisher
Prentice Hall
Year
2001
ISBN
013850363X, 9780138503635
LCC
QA276 .B47 2001
Open Library ID
OL6782338M
Language
english
Format
DJVU
Filesize
18 MB (18491307 bytes)
Volume
Volume 1
Edition
2nd ed
Pages
517\517
Library
kolxoz
DPI
300
Scanned
landscape
Time added
2009-07-20 03:45:11
Математика;Теория вероятностей и математическая ст

Description

This classic, time-honored introduction to the theory and practice of statistics modeling and inference reflects the changing focus of contemporary Statistics. Coverage begins with the more general nonparametric point of view and then looks at parametric models as submodels of the nonparametric ones which can be described smoothly by Euclidean parameters. Although some computational issues are discussed, this is very much a book on theory. It relates theory to conceptual and technical issues encountered in practice, viewing theory as suggestive for practice, not prescriptive. It shows readers how assumptions which lead to neat theory may be unrealistic in practice. Statistical Models, Goals, and Performance Criteria. Methods of Estimation. Measures of Performance, Notions of Optimality, and Construction of Optimal Procedures in Simple Situations. Testing Statistical Hypotheses: Basic Theory. Asymptotic Approximations. Multiparameter Estimation, Testing and Confidence Regions. A Review of Basic Probability Theory. More Advanced Topics in Analysis and Probability. Matrix Algebra. For anyone interested in mathematical statistics working in statistics, bio-statistics, economics, computer science, and mathematics.

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