Robert Bartoszynski, Magdalena Niewiadomska-Bugaj

Probability and Statistical Inference

• Gebundenes Buch

Produktbeschreibung

Probability and Statistical Inference, Second Edition is a user-friendly book that stresses the comprehension of concepts instead of the simple acquisition of a skill or tool. It provides a mathematical framework that permits students to carry out various procedures using any number of computer software packages as opposed to relying on one particular package. Its unique approach to problems allows readers to integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic.

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Now updated in a valuable new edition-this user-friendly book focuses on understanding the "why" of mathematical statistics

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

Additional features of this Second Edition include:
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A new chapter on random samples
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Coverage of computer-intensive techniques in statistical inference featuring Monte Carlo and resampling methods, such as bootstrap and permutation tests, bootstrap confidence intervals with supporting R codes, and additional examples available via the book's FTP site
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Treatment of survival and hazard function, methods of obtaining estimators, and Bayes estimating
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Real-world examples that illuminate presented concepts
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Exercises at the end of each section

Providing a straightforward, contemporary approach to modern-day statistical applications, Probability and Statistical Inference, Second Edition is an ideal text for advanced undergraduate- and graduate-level courses in probability and statistical inference. It also serves as a valuable reference for practitioners in any discipline who wish to gain further insight into the latest statistical tools.

Produktdetails

• Wiley Series in Probability and Statistics
• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 14669693000
• 2. Aufl.
• Seitenzahl: 664
• Erscheinungstermin: 2. Januar 2008
• Englisch
• Abmessung: 240mm x 161mm x 40mm
• Gewicht: 1060g
• ISBN-13: 9780471696933
• ISBN-10: 0471696935
• Artikelnr.: 22846521

Autorenporträt

The late Robert Bartoszynski, PhD, was Professor in the Department of Statistics at The Ohio State University. His scientific contributions included research in the theory of stochastic processes and modeling biological phenomena. Throughout his career, Dr. Bartoszynski published over 80 journal articles, books, and book chapters. He was a Fellow of the Institute of Mathematical Statistics as well as a member of the American Statistical Association, the International Statistical Institute, and the Bernoulli Society. Magdalena Niewiadomska-Bugaj, PhD, is Professor in the Department of Statistics at Western Michigan University. An active member of numerous societies including the American Statistical Association, the Institute of Mathematical Statistics, and the Classification Society of North America, Dr. Niewiadomska-Bugaj's areas of interest include general statistical methodology, nonparametric statistics, classification, and categorical data analysis. She has published over 50 papers, books, and book chapters in theoretical and applied statistics.

Inhaltsangabe

Preface. 1. Experiments, Sample Spaces, and Events. 2. Probability. 3.
Counting. 4. Conditional Probability; Independence. 5. Markov Chains*. 6.
Random Variables: Univariate Case. 7. Random Variables: Multivariate Case.
8. Expectation. 9. Selected Families of Distributions. 10. Random Samples.
11. Introduction to Statistical Inference. 12. Estimation. 13. Testing
Statistical Hypotheses. 14. Linear Models. 15. Rank Methods. 16. Analysis
of Categorical Data. Statistical Tables. Bibliography. Answers to
Odd-Numbered Problems. Index.

Rezensionen

"...whether you are looking for a book for classroom adoption, or just want to brush up your basic probability skills by studying on your own, you will do yourself and your students a favor by considering this book." (MAA Review March 2008)

"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 Statistician, December 2008)

"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 Statistician, December 2008)

"...whether you are looking for a book for classroom adoption, or just want to brush up your basic probability skills by studying on your own, you will do yourself and your students a favor by considering this book." (MAA Review March 2008)