ISBN: 9780486635446

This book, a concise introduction to modern probability theory and certain of its ramifications, deals with a subject indispensable to natural scientists and mathematicians alike. Profess… More...

This book, a concise introduction to modern probability theory and certain of its ramifications, deals with a subject indispensable to natural scientists and mathematicians alike. Professor Y. A. Rozanov, an internationally known mathematician whose work in probability theory and stochastic processes has received wide acclaim, combines succinctness of style with a judicious selection of topics. The Nile on eBay   FREE SHIPPING UK WIDE   Probability Theory by IU.A. Rozanov This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, and more. Includes 150 problems, many with answers. FORMATPaperback LANGUAGEEnglish CONDITIONBrand New Publisher Description This book, a concise introduction to modern probability theory and certain of its ramifications, deals with a subject indispensable to natural scientists and mathematicians alike. Here the readers, with some knowledge of mathematics, will find an excellent treatment of the elements of probability together with numerous applications. Professor Y. A. Rozanov, an internationally known mathematician whose work in probability theory and stochastic processes has received wide acclaim, combines succinctness of style with a judicious selection of topics. His book is highly readable, fast-moving, and self-contained.The author begins with basic concepts and moves on to combination of events, dependent events and random variables. He then covers Bernoulli trials and the De Moivre-Laplace theorem, which involve three important probability distributions (binomial, Poisson, and normal or Gaussian). The last three chapters are devoted to limit theorems, a detailed treatment of Markov chains, continuous Markov processes. Also included are appendixes on information theory, game theory, branching processes, and problems of optimal control. Each of the eight chapters and four appendixes has been equipped with numerous relevant problems (150 of them), many with hints and answers. This volume is another in the popular series of fine translations from the Russian by Richard A. Silverman. Dr. Silverman, a former member of the Courant Institute of Mathematical Sciences of New York University and the Lincoln Laboratory of the Massachusetts Institute of Technology, is himself the author of numerous papers on applied probability theory. He has heavily revised the English edition and added new material. The clear exposition, the ample illustrations and problems, the cross-references, index, and bibliography make this book useful for self-study or the classroom. Table of Contents 1 BASIC CONCEPTS 1. Probability and Relative Frequency 2. Rudiments of Combinatorial Analysis Problems 2 COMBINATION OF EVENTS 3. Elementary Events. The Sample Space 4. The Addition Law for Probabilities Problems 3 DEPENDENT EVENTS 5. Conditional Probability 6. Statistical Independence Problems 4 RANDOM VARIABLES 7. Discrete and Continuous Random Variables. Distribution Functions 8. Mathematical Expectation 9. Chebyshev's Inequality. The Variance and Correlation Coefficient Problems 5 THREE IMPORTANT PROBABILITY DISTRIBUTIONS 10. Bernoulli Trials. The Binomial and Poisson Distributions 11. The De Moivre-Laplace Theorem. The Normal Distribution Problems 6 SOME LIMIT THEOREMS 12. The Law of Large Numbers 13. Generating Functions. Weak Convergence of Probability Distributions 14. Characteristic Functions. The Central Limit Theorem Problems 7 MARKOV CHAINS 15. Transition Probabilities 16. Persistent and Transient States 17. Limiting Probabilities. Stationary Distributions Problems 8 CONTINUOUS MARKOV PROCESSES 18. Definitions. The Sojourn Time 19. The Kolmogorov Equations 20. More on Limiting Probabilities. Erlang's Formula Problems APPENDIX 1 INFORMATION THEORY APPENDIX 2 GAME THEORY APPENDIX 3 BRANCHING PROCESSES APPENDIX 4 PROBLEMS OF OPTIMAL CONTROL BIBLIOGRAPHY INDEX Long Description This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. Indispensable to mathematicians and natural scientists alike. Details ISBN0486635449 Language English Translator Richard A. Silverman ISBN-10 0486635449 ISBN-13 9780486635446 Media Book Format Paperback DEWEY 519.2 Imprint Dover Publications Inc. Subtitle A Concise Course Place of Publication New York Country of Publication United States Translated from Russian Short Title PROBABILITY THEORY REV/E Edition New edition Illustrations Illustrations, unspecified DOI 10.1604/9780486635446 UK Release Date 1978-08-21 AU Release Date 1978-08-21 NZ Release Date 1978-08-21 Author IU.A. Rozanov Pages 148 Publisher Dover Publications Inc. Edition Description New edition Audience Undergraduate Series Dover Books on Mathema 1.4tics Year 2003 Publication Date 2003-03-28 US Release Date 2003-03-28 We've got thisAt The Nile, if you're looking for it, we've got it.With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICYNo questions asked, 30 day returns! FREE DELIVERYNo matter where you are in the UK, delivery is free. SECURE PAYMENTPeace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:7624950; , Neu, Festpreisangebot, [LT: FixedPrice], ISBN-13: 9780486635446, Book Title: Probability Theory, EAN: 9780486635446, Publication Year: 1978, Type: Textbook, Format: Paperback, Language: English, Publication Name: Probability Theory: a Concise Course, Item Height: 208mm, Item Width: 143mm, Subject: Mathematics, Item Weight: 174g, Number of Pages: 148 Pages, Dover Publications Inc.<

ISBN: 9780486635446

This book, a concise introduction to modern probability theory and certain of its ramifications, deals with a subject indispensable to natural scientists and mathematicians alike. Here th… More...

This book, a concise introduction to modern probability theory and certain of its ramifications, deals with a subject indispensable to natural scientists and mathematicians alike. Here the readers, with some knowledge of mathematics, will find an excellent treatment of the elements of probability together with numerous applications. Professor Y. A. Rozanov, an internationally known mathematician whose work in probability theory and stochastic processes has received wide acclaim, combines succinctness of style with a judicious selection of topics. His book is highly readable, fast-moving, and self-contained.The author begins with basic concepts and moves on to combination of events, dependent events and random variables. He then covers Bernoulli trials and the De Moivre-Laplace theorem, which involve three important probability distributions (binomial, Poisson, and normal or Gaussian). The last three chapters are devoted to limit theorems, a detailed treatment of Markov chains, continuous Markov processes. Also included are appendixes on information theory, game theory, branching processes, and problems of optimal control. Each of the eight chapters and four appendixes has been equipped with numerous relevant problems (150 of them), many with hints and answers. This volume is another in the popular series of fine translations from the Russian by Richard A. Silverman. Dr. Silverman, a former member of the Courant Institute of Mathematical Sciences of New York University and the Lincoln Laboratory of the Massachusetts Institute of Technology, is himself the author of numerous papers on applied probability theory. He has heavily revised the English edition and added new material. The clear exposition, the ample illustrations and problems, the cross-references, index, and bibliography make this book useful for self-study or the classroom. Trade Books>Trade Paperback>Science>Statistics & Probability>Statistics & Probability, Dover Publications Core >1<

1977, ISBN: 0486635449

[EAN: 9780486635446], Neubuch, [PU: DOVER PUBN INC], MATHEMATICS PROBABILITY & STATISTICS GENERAL, Inhaltsverzeichnisrnrn1 BASIC CONCEPTSn 1. Probability and Relative Frequencyn 2. Rudime… More...

[EAN: 9780486635446], Neubuch, [PU: DOVER PUBN INC], MATHEMATICS PROBABILITY & STATISTICS GENERAL, Inhaltsverzeichnisrnrn1 BASIC CONCEPTSn 1. Probability and Relative Frequencyn 2. Rudiments of Combinatorial Analysisn Problemsn2 COMBINATION OF EVENTSn 3. Elementary Events. The Sample Spacen 4. The Addition Law for Probabilitiesn Pro., Books<