Title: Fundamentals of Probability, with Stochastic Processes
Abstract: Axioms of Probability Introduction Sample Space and Events Axioms of Probability Basic Theorems Continuity of Probability Function Probabilities 0 and 1 Random Selection of Points from Intervals Review Problems Combinatorial Methods Introduction Counting Principle Permutations Combinations Stirling's Formula Review Problems Conditional Probability and Independence Conditional Probability Law of Multiplication Law of Total Probability Bayes' Formula Independence Applications of Probability to Genetics Review Problems Distribution Functions and Discrete Random Variables Random Variables Distribution Functions Discrete Random Variables Expectations of Discrete Random Variables Variances and Moments of Discrete Random Variables Standardized Random Variables Review Problems Special Discrete Distributions Bernoulli and Binomial Random Variables Poisson Random Variable Other Discrete Random Variables Review Problems Continuous Random Variables Probability Density Functions Density Function of a Function of a Random Variable Expectations and Variances Review Problems Special Continuous Distributions Uniform Random Variable Normal Random Variable Exponential Random Variables Gamma Distribution Beta Distribution Survival Analysis and Hazard Function Review Problems Bivariate Distributions Joint Distribution of Two Random Variables Independent Random Variables Conditional Distributions Transformations of Two Random Variables Review Problems Multivariate Distributions Joint Distribution of n > 2 Random Variables Order Statistics Multinomial Distributions Review Problems More Expectations and Variances Expected Values of Sums of Random Variables Covariance Correlation Conditioning on Random Variables Bivariate Normal Distribution Review Problems Sums of Independent Random Variables and Limit Theorems Moment-Generating Functions Sums of Independent Random Variables Markov and Chebyshev Inequalities Laws of Large Numbers Central Limit Theorem Review Problems Stochastic Processes Introduction More on Poisson Processes Markov Chains Continuous-Time Markov Chains Brownian Motion Review Problems Simulation Introduction Simulation of Combinatorial Problems Simulation of Conditional Probabilities Simulation of Random Variables Monte Carlo Method Appendix Tables Answers to Odd-Numbered Exercises Index
Publication Year: 2004
Publication Date: 2004-08-01
Language: en
Type: book
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Cited By Count: 89
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