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Paul E. Pfeiffer

Applied Probability

A rigorous first course in applied probability: probability systems and conditional probability, random variables and distributions, mathematical expectation, variance and covariance, and conditional expectation. Every problem set ships fully worked solutions, many alongside computational transcripts.

Applied Probability

359 exercises16 sections
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Sections
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1.4 Problems on Probability Systems22
2.3 Problems on Minterm Analysis18
3.2 Problems on Conditional Probability22
4.4 Problems on Independence of Events46
5.3 Problems on Conditional Independence16
6.2 Problems on Random Variables and Probabilities15
7.3 Problems on Distribution and Density Functions27
8.3 Problems On Random Vectors and Joint Distributions17
9.2 Problems on Independent Classes of Random Variables22
10.4 Problems on Functions of Random Variables13
11.3 Problems on Mathematical Expectation27
12.4 Problems on Variance, Covariance, Linear Regression27
13.4 Problems on Transform Methods22
14.2 Problems on Conditional Expectation, Regression24
15.3 Problems on Random Selection35
16.3 Problems on Conditional Independence, Given a Random Vector6

Adapted from Applied Probability © 2009 Paul E. Pfeiffer. Licensed under CC BY 3.0. Source: Applied Probability. Imported at revision d7a0420.