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Probability and statistical inference

Author: Robert Bartoszyński; Magdalena Niewiadomska-Bugaj
Publisher: Hoboken, N.J. ; [Chichester] : Wiley-Interscience, ©2008.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
"Probability and Statistical Inference, Second Edition introduces key probability and statistical concepts through non-trivial, real-world examples and promotes the development of intuition rather than simple application. With its coverage of the recent advancements in computer-intensive methods, this update successfully provides the comprehensive tools needed to develop a broad understanding of the theory of  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Robert Bartoszyński; Magdalena Niewiadomska-Bugaj
ISBN: 9780471696933 0471696935
OCLC Number: 154798724
Notes: Previous edition: Chichester: Wiley, 1996.
Description: xii, 647 pages : illustrations ; 25 cm
Contents: Experiments, Sample Spaces, and Events --
Probability --
Counting --
Conditional Probability; Independence --
Markov Chains* --
Random Variables: Univariate Case --
Random Variables: Multivariate Case --
Expectation --
Selected Families of Distributions --
Random Samples --
Introduction to Statistical Inference --
Estimation --
Testing Statistical Hypotheses --
Linear Models --
Rank Methods --
Analysis of Categorical Data --
Statistical Tables --
Answers to odd numbered problems.
Responsibility: Robert Bartoszyński and Magdalena Niewiadomska-Bugaj.
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Abstract:

Now updated in a valuable new edition, this book introduces key probability and statistical concepts through non-trivial, real-world examples and promotes the development of intuition rather than  Read more...

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"The book is well written and contains many interesting examples and exercises. The emphasis in these and the exposition is clearly on mathematical development and theory." (Journal of the American Read more...

 
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    schema:reviewBody ""Probability and Statistical Inference, Second Edition introduces key probability and statistical concepts through non-trivial, real-world examples and promotes the development of intuition rather than simple application. With its coverage of the recent advancements in computer-intensive methods, this update successfully provides the comprehensive tools needed to develop a broad understanding of the theory of statistics and its probabilistic foundations. This outstanding new edition continues to encourage readers to recognize and fully understand the why, not just the how, behind the concepts, theorems, and methods of statistics. Clear explanations are presented and applied to various examples that help to impart a deeper understanding of theorems and methods - from fundamental statistical concepts to computational details."--Jacket." ;
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