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Wiley Series in Probability and Statistics Ser.: Modern Mathematical Statistics by Edward J. Dudewicz and Satya N. Mishra (1988, Hardcover)
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You are purchasing a Good copy of 'Modern Mathematical Statistics (Wiley Series in Probability and Statistics)'. Condition Notes: The book is in good condition with all pages and cover intact, including the dust jacket if originally issued.
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About this product
Product Identifiers
PublisherWiley & Sons, Incorporated, John
ISBN-100471814725
ISBN-139780471814726
eBay Product ID (ePID)478965
Product Key Features
Number of Pages864 Pages
LanguageEnglish
Publication NameModern Mathematical Statistics
Publication Year1988
SubjectProbability & Statistics / General
TypeTextbook
Subject AreaMathematics
AuthorEdward J. Dudewicz, Satya N. Mishra
SeriesWiley Series in Probability and Statistics Ser.
FormatHardcover
Dimensions
Item Height1.8 in
Item Weight48.2 Oz
Item Length9.5 in
Item Width6.7 in
Additional Product Features
Intended AudienceCollege Audience
LCCN87-014279
Dewey Edition19
Series Volume Number215
IllustratedYes
Dewey Decimal519.5
Table Of ContentNaive Set Theory. Probability. Random Variables: Discrete Case. Random Variables: Continuous and Mixed Cases. Moments. Sums of Random Variables, Probability Inequalities, and Limit Laws. Point Estimation. Data Reduction and Best Estimation (Sufficiency, Completeness, and UMVUE's). Tests of Hypotheses. Interval Estimation. Ranking and Selection Procedures. Decision Theory. Nonparametric Statistical Inference. Regression and Linear Statistical Inference; Analysis of Variance. Robust Statistical Procedures. Statistical Tables. Index
SynopsisThis text attempts to cover the science of statistics in a clear and concise fashion, balancing theory with applications. In addition to classical probability theory, such topics as order statistics and limiting distributions are discussed, along with applied examples from a wide variety of fields. Discussions include the core mathematical statistics topics of estimation, testing and confidence intervals; ranking and selection procedures; decision theory; nonparametric statistics; regression and ANOVA; and robust statistical procedures. Computer-assisted data analysis is discussed at several points, reflecting the importance of statistical computation to the field. FORTRAN programs and BMDP routines are included, as well as the highly popular SAI routines. The potential contribution of expert systems to statistics is also examined., This modern treatment of mathematical statistics is concise, yet detailed enough to give readers a solid foundation in all aspects of the field. Treatment of each topic is thorough enough to make the coverage self-contained for a course in probability, and exceptional care has been taken to balance theory with applications. In addition to classical probability theory, such modern topics as order statistics and limiting distributions are discussed, along with applied examples from a wide variety of fields. Discussions include the core mathematical statistics topics of estimation, testing, and confidence intervals; ranking and selection procedures; decision theory; nonparametric statistics; regression and ANOVA; and robust statistical procedures. Computer-assisted data analysis is discussed at several points, reflecting the importance of statistical computation to the field. FORTRAN programs and BMDP routines are included, as well as the highly popular SAS routines. Also looks at the potential contribution of expert systems to statistics.
LC Classification NumberQA276
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