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![]( "Buchcover ISBN 9780470191583")
„The book is well written and contains many interesting examplesand exercises. The emphasis in these and the exposition is clearlyon mathematical development and theory.“ (Journal of theAmerican Statistician, December 2008)
„The book is well written and contains many interesting examplesand exercises. The emphasis in these and the exposition isclearly on mathematical development and theory.“ (Journal of theAmerican Statistician, December 2008)
„... whether you are looking for a book for classroom adoption, or just want to brush up your basic probability skills by studyingon your own, you will do yourself and your students a favor byconsidering this book.“ (MAA Review March 2008)
Now updated in a valuable new edition--this user-friendly bookfocuses on understanding the „why“ of mathematical statistics
Probability and Statistical Inference, Second Edition introduceskey probability and statis-tical concepts through non-trivial, real-world examples and promotes the developmentof intuition ratherthan simple application. With its coverage of the recentadvancements in computer-intensive methods, this updatesuccessfully provides the comp-rehensive tools needed to develop abroad understanding of the theory of statisticsand itsprobabilistic foundations. This outstanding new edition continuesto encouragereaders to recognize and fully understand the why, notjust the how, behind the concepts, theorems, and methods ofstatistics. Clear explanations are presented and appliedto variousexamples that help to impart a deeper understanding of theorems andmethods--from fundamental statistical concepts tocomputational details.
Additional features of this Second Edition include:
* A new chapter on random samples
* Coverage of computer-intensive techniques in statisticalinference featuring Monte Carlo and resampling methods, such asbootstrap and permutation tests, bootstrap confidence intervalswith supporting R codes, and additional examples available via thebook's FTP site
* Treatment of survival and hazard function, methods of obtainingestimators, and Bayes estimating
* Real-world examples that illuminate presented concepts
* Exercises at the end of each section
Providing a straightforward, contemporary approach to modern-daystatistical applications, Probability and Statistical Inference, Second Edition is an ideal text for advanced undergraduate- andgraduate-level courses in probability and statistical inference. Italso serves as a valuable reference for practitioners in anydiscipline who wish to gain further insight into the lateststatistical tools.
Probability and Statistical Inference, Second Edition introduceskey probability and statis-tical concepts through non-trivial, real-world examples and promotes the developmentof intuition ratherthan simple application. With its coverage of the recentadvancements in computer-intensive methods, this updatesuccessfully provides the comp-rehensive tools needed to develop abroad understanding of the theory of statisticsand itsprobabilistic foundations. This outstanding new edition continuesto encouragereaders to recognize and fully understand the why, notjust the how, behind the concepts, theorems, and methods ofstatistics. Clear explanations are presented and appliedto variousexamples that help to impart a deeper understanding of theorems andmethods--from fundamental statistical concepts tocomputational details.
Additional features of this Second Edition include:
* A new chapter on random samples
* Coverage of computer-intensive techniques in statisticalinference featuring Monte Carlo and resampling methods, such asbootstrap and permutation tests, bootstrap confidence intervalswith supporting R codes, and additional examples available via thebook's FTP site
* Treatment of survival and hazard function, methods of obtainingestimators, and Bayes estimating
* Real-world examples that illuminate presented concepts
* Exercises at the end of each section
Providing a straightforward, contemporary approach to modern-daystatistical applications, Probability and Statistical Inference, Second Edition is an ideal text for advanced undergraduate- andgraduate-level courses in probability and statistical inference. Italso serves as a valuable reference for practitioners in anydiscipline who wish to gain further insight into the lateststatistical tools.
