Probability and Statistical Inference - Hardcover

Bartoszynski, Robert; Niewiadomska-Bugaj, Magdalena

Hardcover

ISBN 10: 0471310735 ISBN 13: 9780471310730

Publisher: Wiley-Interscience, 1996

Synopsis

Understanding the "why" of statistics and probabilityâ??a unique and useful emphasis on theory
This outstanding textbook emphasizes theoretical comprehension rather than the narrow acquisition of concepts or skills. Probability and Statistical Inference focuses on the development of intuition and understanding through diversity of experience.

This thought-provoking text reintroduces mathematics, abstractions, and theory into the study of statistics and probability, and demonstrates that greater abstraction leads to a wider applicability of the methods under discussion. Its unique approach to exercises integrates the knowledge gained here and promotes a more complete understanding of the material.

Probability and Statistical Inference features:

A wealth of examples illustrating concepts, theorems, and methodsâ??from numerical data and details of calculations, to ideas behind some of the methods, and more
Accessible, user-friendly treatments that clearly explain concepts and motivations while pointing out pitfalls and difficulties of arguments A selection of advanced topics for students who would benefit from more thorough explanations
An instructor's manual with solutions available from the publisher Suitable for upper-level undergraduate and graduate courses in statistics, and as a professional reference, this unparalleled volume offers useful insights to anyone who uses statistical tools, whatever the discipline.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

About this title

From the Publisher:

A user-friendly book stressing the comprehension of concepts instead of the simple acquisition of a skill or tool. Provides a mathematical framework permitting 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, enhancing a more complete understanding of the topic.

About the Author:

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.

About this edition

• Publisher: Wiley-Interscience
• Publication date: 1996
• ISBN 10: 0471310735
• ISBN 13: 9780471310730
• Binding: Hardcover
• Edition number: 1
• Number of pages: 848