UID:
almafu_9960117126302883
Format:
1 online resource (xii, 368 pages) :
,
digital, PDF file(s).
ISBN:
0-511-81362-7
,
0-511-15131-4
,
0-511-05186-7
Content:
This is a simple and concise introduction to probability theory. Self-contained and readily accessible, it is written in an informal tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. This book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It would also be a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject.
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
,
Contents; Synopsis; Preface; 1 Introduction; 1.1 PREVIEW; 1.2 PROBABILITY; 1.3 THE SCOPE OF PROBABILITY; 1.4 BASIC IDEAS: THE CLASSICAL CASE; 1.5 BASIC IDEAS; THE GENERAL CASE; 1.6 MODELLING; 1.7 MATHEMATICAL MODELLING; 1.8 MODELLING PROBABILITY; 1.9 REVIEW; 1.10 APPENDIX I. SOME RANDOMLY SELECTED DEFINITIONS OF PROBABILITY, IN RANDOM ORDER; 1.11 APPENDIX II. REVIEWOF SETS AND FUNCTIONS; 1.12 PROBLEMS; 2 The rules of probability; 3 Counting and gambling; 4 Distributions: trials, samples, and approximation; 5 Random variables and their distributions; 6 Jointly distributed random variables
,
7 Generating functionsHints and solutions for selected exercises and problems; Index
,
English
Additional Edition:
ISBN 0-521-64445-3
Additional Edition:
ISBN 0-521-64297-3
Language:
English
URL:
https://doi.org/10.1017/CBO9780511813627
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