Bartoszynski / Niewiadomska-Bugaj Probability and Statistical Inference

2. Auflage 2008
ISBN: 978-0-470-19158-3
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 664 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

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.

Autoren/Hrsg.

Bartoszynski, Robert

Niewiadomska-Bugaj, Magdalena

Inhaltsverzeichnis

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.

Über Autor(innen)

The late Robert Bartoszynski, PhD, was Professor in theDepartment of Statistics at The Ohio State University. Hisscientific contributions included research in the theory ofstochastic processes and modeling biological phenomena. Throughouthis career, Dr. Bartoszynski published over 80 journal articles,books, and book chapters. He was a Fellow of the Institute ofMathematical Statistics as well as a member of the AmericanStatistical Association, the International Statistical Institute,and the Bernoulli Society.
Magdalena Niewiadomska-Bugaj, PhD, is Professor in theDepartment of Statistics at Western Michigan University. An activemember of numerous societies including the American StatisticalAssociation, the Institute of Mathematical Statistics, and theClassification Society of North America, Dr. Niewiadomska-Bugaj'sareas of interest include general statistical methodology,nonparametric statistics, classification, and categorical dataanalysis. She has published over 50 papers, books, and bookchapters in theoretical and applied statistics.