The Pleasures of Probability. Richard Isaac

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eBay item number:256544777164

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
“has light underline”
ISBN
9780387944159
Category

About this product

Product Identifiers

Publisher
Springer New York
ISBN-10
038794415X
ISBN-13
9780387944159
eBay Product ID (ePID)
26038292455

Product Key Features

Number of Pages
Xv, 244 Pages
Language
English
Publication Name
Pleasures of Probability
Publication Year
1995
Subject
Biostatistics, Probability & Statistics / General, Chemistry / Physical & Theoretical
Type
Textbook
Author
Richard Isaac
Subject Area
Mathematics, Science, Medical
Series
Undergraduate Texts in Mathematics Ser.
Format
Hardcover

Dimensions

Item Weight
43 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
94-039140
TitleLeading
The
Dewey Edition
20
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.2
Table Of Content
1: Cars, Goats, and Sample Spaces. 2: How to Count: Birthdays andLotteries. 3: Conditional Probability: From Kings to Prisoners. 4: TheFormula of Thomas Bayes and Other Matters. 5: The Idea ofIndependence, with Applications. 6: A Little Bit About Games. 7:Random Variables, Expectations, and More About Games. 8: BaseballCards, The Law of Large Numbers, and Bad News for Gamblers. 9: FromTraffic to Chocolate Chip Cookies with the Poisson Distribution. 10:The Desperate Case of the Gambler's Ruin. 11: Breaking Sticks, TossingNeedles, and More: Probability on Continuous Sample Spaces. 12: NormalDistribution, and Order from Diversity via the Central Limit Theorem.13: Random Numbers: What They Are and How to Use Them. 14: Computersand Probability. 15: Statistics: Applying Probability to MakeDecisions. 16: Roaming the Number Line with a Markov Chain:Dependence. 17: The Brownian Motion, and Other Processes in ContinuousTime.
Synopsis
This introduction to fundamental ideas in classical probability is written for an audience ranging from mathematical amateurs to scientists, from students to professional mathematicians. Includes illustrative problems, with answers at the end of the book., The ideas of probability are all around us. Lotteries, casino gambling, the al­ most non-stop polling which seems to mold public policy more and more­ these are a few of the areas where principles of probability impinge in a direct way on the lives and fortunes of the general public. At a more re­ moved level there is modern science which uses probability and its offshoots like statistics and the theory of random processes to build mathematical descriptions of the real world. In fact, twentieth-century physics, in embrac­ ing quantum mechanics, has a world view that is at its core probabilistic in nature, contrary to the deterministic one of classical physics. In addition to all this muscular evidence of the importance of probability ideas it should also be said that probability can be lots of fun. It is a subject where you can start thinking about amusing, interesting, and often difficult problems with very little mathematical background. In this book, I wanted to introduce a reader with at least a fairly decent mathematical background in elementary algebra to this world of probabil­ ity, to the way of thinking typical of probability, and the kinds of problems to which probability can be applied. I have used examples from a wide variety of fields to motivate the discussion of concepts., The purpose of this book is to introduce the basic notions of probability through the discussion of a variety of problems and applications. The most important feature is the attempt to explain fundamental ideas in classical probability to non-specialists whose only prerequisite is algebra. The book can be used as a text for a first course in probability. Each chapter ends with a few problems with answers at the end of the book., The ideas of probability are all around us. Lotteries, casino gambling, the al- most non-stop polling which seems to mold public policy more and more- these are a few of the areas where principles of probability impinge in a direct way on the lives and fortunes of the general public. At a more re- moved level there is modern science which uses probability and its offshoots like statistics and the theory of random processes to build mathematical descriptions of the real world. In fact, twentieth-century physics, in embrac- ing quantum mechanics, has a world view that is at its core probabilistic in nature, contrary to the deterministic one of classical physics. In addition to all this muscular evidence of the importance of probability ideas it should also be said that probability can be lots of fun. It is a subject where you can start thinking about amusing, interesting, and often difficult problems with very little mathematical background. In this book, I wanted to introduce a reader with at least a fairly decent mathematical background in elementary algebra to this world of probabil- ity, to the way of thinking typical of probability, and the kinds of problems to which probability can be applied. I have used examples from a wide variety of fields to motivate the discussion of concepts.
LC Classification Number
QA273.A1-274.9

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