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An Introduction to Probability Theory and Its Applications, Volume 1

by Feller, William | HC | Good
US $51.06
ApproximatelyRM 217.98
Condition:
Good
Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ... Read moreabout condition
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eBay item number:376413133722
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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ...
Binding
Hardcover
Book Title
An Introduction to Probability Theory and Its Applications,...
Weight
1 lbs
Product Group
Book
IsTextBook
Yes
ISBN
9780471257080

About this product

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
Author
William Feller
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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