An Introduction to Probability Theory and Its Applications, Volume 1Wiley, 1957 - Probabilities |
Contents
CHAPTER | 1 |
THE SAMPLE SPACE | 7 |
The Basic Definitions and Rules | 22 |
Copyright | |
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Common terms and phrases
applies approximation arbitrary arrangements assume balls Bernoulli trials binomial distribution cards cells central limit theorem chapter coefficients conditional probability consider contains corresponding defined derived dice digits elements equal probabilities equation exactly example experiment Find the probability finite follows frequencies function genes genotypes geometric distribution given hence independent random variables inequality infinite integer large numbers law of large lead limit theorem Markov chain mathematical Maxwell-Boltzmann statistics means method mutually independent n₁ negative binomial distribution nth trial number of successes occurs outcomes P₁ pairs particle paths player Poisson distribution population possible prob probability distribution problem proof prove random walk recurrent events replacement represents result sample points sample space sequence side solution statistics Stirling's formula stochastic stochastically independent Suppose theory tion total number u₁ values variance x-axis X₁ zero