An Introduction to Probability Theory and Its Applications, Volume 1 |
Contents
THE NATURE OF PROBABILITY THEORY | 5 |
Statistical Probability 46 | 6 |
Historical Note | 8 |
Copyright | |
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aces apply assume Bernoulli trials binomial distribution cards cells central limit theorem Chapter 12 closed set coefficients coin conditional probability consider contains converges defined derived differential equations digits elements exactly example Find the probability finite fixed formula frequencies function gene genotype geometric distribution given Hence inequality infinite integer interval large numbers law of large Markov chain Mathematical matrix means mutually independent nth trial number of successes number of trials occurs P₁ particle player Pn(t Poisson distribution population positive possible Pr{A prob probability distribution problem proof prove r₁ random walk recurrent event replaced root run of length s₁ sample points sample space solution statistical Stirling's formula Suppose Table theory tion tossing transition probabilities trial number u₁ values Var(X variance X₁