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Synopsis
Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty-?rst century, as dif?cult new problems emerge, that will require more sophisticated models and analysis. Thisisa text onthe fundamentalsof thetheoryofprobabilityat anundergraduate or ?rst-year graduate level for students in science, engineering,and economics. The only mathematical background required is knowledge of univariate and multiva- ate calculus and basic linear algebra. The book covers all of the standard topics in basic probability, such as combinatorial probability, discrete and continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional distributions of discrete and continuous random variables. But it also has some unique features and a forwa- looking feel.
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Product Description
Encompasses various standard topics in introductory probability theory, together with optional material of emerging importance. This title places emphasis on a lucid and accessible writing style, mixed with a large number of examples of a diverse nature.
Review
From the reviews:
“Throughout the book, the author chooses examples and exercises that are classics in the field of probability ... . does an admirable job of combining the rigor necessary for a first course in probability theory while continuing to engage the more applied oriented student’s curiosity with interesting examples and exercises. The book deserves serious consideration for anyone teaching the first course in probability theory or one engaged in applied work who desires a more thorough grounding in the mathematical principles of probability theory.” (Mark A. Mccomb, Technometrics, Vol. 54 (1), February, 2012)
“The present book is a text on the fundamentals of probability at an undergraduate and first-year graduate level for students in science, engineering and economics. ... The book has an excellent set of examples and exercises and two appendices on supplementary homework, practice problems, symbols and formulas.” (Andreas N. Philippou, Zentralblatt MATH, Vol. 1211, 2011)
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- PublisherSpringer
- Publication date2010
- ISBN 10 1441957790
- ISBN 13 9781441957795
- BindingHardcover
- LanguageEnglish
- Number of pages466
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Fundamentals of Probability: A First Course
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SPRINGER NATURE Apr 2010, 2010
ISBN 10: 1441957790
ISBN 13: 9781441957795
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probability theory is one branch of mathematics that is simultaneously deep and immediately applicable in diverse areas of human endeavor. It is as fundamental as calculus. Calculus explains the external world, and probability theory helps predict a lot of it. In addition, problems in probability theory have an innate appeal, and the answers are often structured and strikingly beautiful. A solid background in probability theory and probability models will become increasingly more useful in the twenty- rst century, as dif cult new problems emerge, that will require more sophisticated models and analysis. Thisisa text onthe fundamentalsof thetheoryofprobabilityat anundergraduate or rst-year graduate level for students in science, engineering,and economics. The only mathematical background required is knowledge of univariate and multiva- ate calculus and basic linear algebra. The book covers all of the standard topics in basic probability, such as combinatorial probability, discrete and continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional distributions of discrete and continuous random variables. But it also has some unique features and a forwa- looking feel. 450 pp. Englisch. Seller Inventory # 9781441957795
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Lucid, accessible style helps make a sophisticated subject more accessible Covers combinatorial probability, standard univariate discrete and continuous distributions, joint and conditional distributions in the bivariate and the multivariate case, and moreI. Seller Inventory # 4175887
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