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An Introduction to Probability Theory and Its Applications, Volume 1
by Feller, William | HC | Good
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（3948439）
US $37.59
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所在地：Aurora, Illinois, 美國
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估計於 8月22日 (星期五)至 8月28日 (星期四)之間送達 運送地點 94104
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物品細節
- 物品狀況
- 良好
- 賣家備註
- Binding
- Hardcover
- Book Title
- An Introduction to Probability Theory and Its Applications,...
- Weight
- 1 lbs
- Product Group
- Book
- IsTextBook
- Yes
- ISBN
- 9780471257080
關於產品
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471257087
ISBN-13
9780471257080
eBay Product ID (ePID)
965889
Product Key Features
Number of Pages
528 Pages
Publication Name
Introduction to Probability Theory and Its Applications, Volume 1
Language
English
Subject
Probability & Statistics / General
Publication Year
1991
Features
Revised
Type
Textbook
Subject Area
Mathematics
Series
Wiley Series in Probability and Statistics Ser.
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
28.4 Oz
Item Length
9.3 in
Item Width
6.3 in
Additional Product Features
Edition Number
3
Intended Audience
College Audience
LCCN
68-011708
Dewey Edition
21
TitleLeading
An
Series Volume Number
82
Volume Number
Vol. 1
Dewey Decimal
519/.1
Edition Description
Revised edition
Table Of Content
Introduction: The Nature of Probability Theory. The Sample Space. Elements of Combinatorial Analysis. Fluctuations in Coin Tossing and Random Walks. Combination of Events. Conditional Probability. Stochastic Independence. The Binomial and Poisson Distributions. The Normal Approximation to the Binomial Distribution. Unlimited Sequences of Bernoulli Trials. Random Variables; Expectation. Laws of Large Numbers. Integral Valued Variables. Generating Functions. Compound Distributions. Branching Processes. Recurrent Events. Renewal Theory. Random Walk and Ruin Problems. Markov Chains. Algebraic Treatment of Finite Markov Chains. The Simplest Time-Dependent Stochastic Processes. Answers to Problems.
Synopsis
A complete guide to the theory and practical applications of probability theory An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way., A complete guide to the theory and practical applications of probability theory An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory.
LC Classification Number
QA273 .F37 1968
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