Course in Probability, A

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• Product ID: N00715788

Course in Probability, A

Barcode

• Product ID: N00715788
• ISBN: 9780321189547

Package Size

22cm x 4.5cm x 27cm

Gross Weight

1.2kg

Author

Neil Weiss

Publishing Date

Mar 2005

Binding

Paperback

Pages

816 Pages

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Add to Cart Course in Probability, A - International Edition

	This text is intended primarily for a first course in mathematical probability for students in mathematics, statistics, operations.. Buy 1 at wholesale price, make ~ 170% profit by reselling at market price ?up to R1700.

Product Features

• Illustrative examples. Definition and results (e.g., theorems and propositions) are followed by one or more examples that illustrate the concept or result in order to provide a concrete frame of reference.
• Abundant & varied exercises. The text contains an abundance of exercises, far more than most other probability books. The exercises provide an opportunity to vary the coverage and level.
• Applications. A diverse collection of applications appear throughout the text, some as examples or exercises, and others as entire sections. The last chapter of the text, Chapter 12, provides introductory materials—independent of one another—for three main follow-up courses: mathematical statistics, stochastic processes, and operations research.
• Biographies. Each chapter begins with a brief biography of a famous probabilist, mathematician, statistician, or scientist who has made substantial contributions to probability theory or its applications. These biographies help students obtain a perspective on how probability and its applications have developed.
• Motivation of key concepts. The importance of and rationale behind ideas such as the axioms of probability, conditional probability, independence, random variables, joint and conditional distributions, and expected value are made transparent. Formulas for probability mass functions and probability density functions are motivated instead of only stated. This helps students understand how such formulas arise naturally.

Description

Table of Contents

• ( Chapter Opener and Review appear in each chapter ).
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I. FUNDAMENTALS OF PROBABILITY.

1. Probability Basics.

Biography: Girolamo Cardano.

• From Percentages to Probabilities.Set Theory.
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2. Mathematical Probability.

Biography: Andrei Kolmogorov. Sample Space and Events.Axioms of Probability.Specifying Probabilities.Basic Properties of Probability.

1. Combinatorial Probability.
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