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Ships from IN. About the Book Find at your local library 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, and more. Refine Your Search Filter Per Page. Each of the eight chapters and four appendixes include relevant problems of them , many with hints and answers.
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Fifty challenging probability problems. Remarkable selection of puzzlers, graded in difficulty, that illustrate both elementary and advanced aspects of probability. Selected for originality, general interest, or because they demonstrate valuable techniques, the problems are ideal as a supplement to courses in probability or statistics, or as stimulating recreation for the mathematically minded.
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Each problem is illustrated with a detailed solution. If you have a soft spot for problems in probability, this book is an inexpensive must. A Bayesian approach to science. This introduction to probability was written by a scientist for scientists. The author shows how Bayesian theory can be applied to inference from incomplete information.
The book is a pleasure to read, especially the author's entertaining arguments against conventional theory. That is not to say that it is an easy read; on the contrary, the math is high-level and the problems are challenging. To follow the author's presentation, the reader will need to be familiar with applied mathematics at an advanced undergraduate level.
Practical tips for solving probability problems.
Increase your chances of acing that probability exam or winning at the casino! Whether you are hitting the books or hitting the tables, working out probabilities can be a challenge. This book helps even the odds. The book covers set theory, counting, permutations and combinations, random variables, conditional probability, joint distributions, conditional expectations, gambling, and actuarial applications and probability modeling.
And it is packed with real-life examples and straightforward, friendly explanations. This textbook is an introduction to probability theory using measure theory. It is designed for graduate students in a variety of fields mathematics, statistics, economics, management, finance, computer science, and engineering who require a working knowledge of probability theory that is mathematically precise, but without excessive technicalities.
Probability Theory : A Concise Course
The text provides complete proofs of all the essential introductory results. Nevertheless, the treatment is focused and accessible, with the measure theory and mathematical details presented in terms of intuitive probabilistic concepts, rather than as separate, imposing subjects. Geared toward advanced undergraduates and graduate students, this introductory text surveys random variables, conditional probability and expectation, characteristic functions, infinite sequences of random variables, Markov chains, and an introduction to statistics.
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Convert currency. Add to Basket. Book Description Dover Publications, Condition: New. Brand New!.
ISBN 13: 9780486635446
Seller Inventory More information about this seller Contact this seller. Never used!. Book Description Dover Publications Inc. New edition. Language: English. Brand new Book. Here the reader, with some knowledge of mathematics, will find an excellent treatment of the elements of probability together with numerous applications.
Probability Theory : Iu. A. Rozanov :
Rozanov, an internatiionally known mathematician whose work in probability theory and stochastic processes has received wide aclaim, combines succinctness of style with a judicious selection of topics. His book is highly readable, fast-moving and self-contained. Seller Inventory AAC Paperback or Softback. Probability Theory: A Concise Course. Seller Inventory BBS Book Description Condition: New.
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