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Probability theory and stochastic processes
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aleatoires analysis applications approximation Asymptotic behavior Asymptotic expansions Banach spaces Bayes Bayesian bivariate branching processes Brownian motion central limit theorem characterization coefficients correlation covariance David density distribution function Donald English and Russian English summary ergodic finite French summary Gaussian processes George Georgian and English German summary Gupta homogeneous independent random variables inequalities infinitely divisible iterated logarithm James John large deviations large numbers law of large linear models Lithuanian and English Markov chains Markov processes martingales mathematical statistics matrices maximum likelihood estimators method Michael multidimensional multiple nonparametric normal distribution optimal order statistics parameters Peter point processes Poisson populations Probabilistic probability measures probability theory problems procedures properties random fields random processes random walk rate of convergence Richard Robert Russian summaries sample Secondary classifications sequences solutions stable stationary processes statistical inference stochastic differential equations stochastic integrals stochastic processes stochastiques sums of independent tests Uzbek summary variance vectors Weak convergence William