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Probability and Random Variables: A Beginner's Guide by Stirzaker
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eBay-objectnummer:167617874572
Specificaties
- Objectstaat
- Goed
- Opmerkingen van verkoper
- “Used book in good condition. Shows typical wear. Quick shipping. Satisfaction guaranteed!”
- Book Title
- Probability and Random Variables: A Beginner's Guide
- Topic
- Probability & Statistics
- Narrative Type
- Probability & Statistics
- Genre
- N/A
- Intended Audience
- N/A
- ISBN
- 9780521644457
Over dit product
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521644453
ISBN-13
9780521644457
eBay Product ID (ePID)
1028317
Product Key Features
Number of Pages
382 Pages
Publication Name
Probability and Random Variables : a Beginner's Guide
Language
English
Publication Year
1999
Subject
Probability & Statistics / General
Type
Textbook
Subject Area
Mathematics
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
26.1 Oz
Item Length
9.8 in
Item Width
6.9 in
Additional Product Features
Intended Audience
College Audience
LCCN
98-029586
Dewey Edition
21
Reviews
"In a very fine, appealing, and self-contained book with a wealth of illustrative examples, Stirzaker...superbly and informally presents with great clarity and accuracy various difficult concepts and techniques without invoking the rigor of mathematics...An excellent book, highly recommended." Choice, 'This book is an ideal text for an introductory university course in probability … This is a very-well written book. the content and the informal tutorial style are such that the book can be strongly recommended.' Jordan M. Stoyanov, Zentralblatt MATH, ‘This book is an ideal text for an introductory university course in probability … This is a very-well written book. the content and the informal tutorial style are such that the book can be strongly recommended.’Jordan M. Stoyanov, Zentralblatt MATH, ‘… a fine textbook accompanying introductory lectures in probability.’Ch. Cenker, Monatshefte für Mathematik, '... a fine textbook accompanying introductory lectures in probability.'Ch. Cenker, Monatshefte für Mathematik, 'I would not hesitate to recommend it for independent study to a colleague in mathematics or one of the natural or social sciences (assuming a working knowledge of calculus). I think the text would also work well in an independent study course with a bright, highly motivated, well-prepared undergraduate student.' Roger Nelson, Journal of the American Statistical Association, '... a fine textbook accompanying introductory lectures in probability.' Ch. Cenker, Monatshefte f r Mathematik, "I would not hesitate to recommend it for independent study to a colleague in mathematics or one of the natural or social sciences (assuming a working knowledge of calculus). I think the text would also work well in an independent study course with a bright, highly motivated, well-prepared undergraduate student." The American Statistician, 'This book is an ideal text for an introductory university course in probability ... This is a very-well written book. the content and the informal tutorial style are such that the book can be strongly recommended.' Jordan M. Stoyanov, Zentralblatt MATH, '... a fine textbook accompanying introductory lectures in probability.' Ch. Cenker, Monatshefte für Mathematik, ‘I would not hesitate to recommend it for independent study to a colleague in mathematics or one of the natural or social sciences (assuming a working knowledge of calculus). I think the text would also work well in an independent study course with a bright, highly motivated, well-prepared undergraduate student.’Roger Nelson, Journal of the American Statistical Association, '… a fine textbook accompanying introductory lectures in probability.' Ch. Cenker, Monatshefte fr Mathematik
Illustrated
Yes
Dewey Decimal
519.2
Table Of Content
1. Introduction; Part A. Probability: 2. The rules of probability; 3. Counting and gambling; 4. Distributions: trials, samples and approximation; Part B. Random Variables: 5. Random variables and their distributions; 6. Jointly distributed random variables; 7. Generating functions; 8. Appendix: hints and solutions for selected exercises and problems.
Synopsis
A simple, concise and accessible introduction to probability theory. Examples and exercises explore real life problems in areas including science, medicine, and gaming. Assuming minimal prior technical knowledge, it is suitable for students taking introductory courses, those needing a working knowledge of probability and other interested readers., This concise introduction to probability theory is written in an informal, tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, Stirzaker sets out the central and crucial rules and ideas of probability including independence and conditioning. Counting, combinatorics, and the ideas of probability distributions and densities follow. Later chapters present random variables and examine independence, conditioning, covariance, and functions of random variables, both discrete and continuous. The final chapter considers generating functions and applies this concept to practical problems including branching processes, random walks, and the central limit theorem. 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. Essential proofs of important results are included. Assuming minimal prior technical knowledge on the part of the reader, 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 is also 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., 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.
LC Classification Number
QA273 .S75343 1999
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