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Review: Statistical Analysis of Stochastic Processes in TimeUser Review - Andrewcharles420 - Goodreads
Good introduction to many statistical tools for analyzing various random processes in time. I could have used more frequent explicit numerical calculations and/or answers to exercises. I would also ... Read full review
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applied appropriate assume assumption autoregression Burr distribution censoring Chapter coefficient compartment conditional distribution constant counts density divorce duration Equation estimated exponential distribution first-order gamma distribution generalised given graph of Figure growth curve hidden Markov models homogeneous husband,s age independent indicate individual intensity function interarrival intervals involving Kaplan-Meier length of marriage likelihood function linear models location parameter log Laplace log linear log logistic log normal luteinising hormone marginal distribution Markov chain mean models fitted multivariate nonlinear normal distribution number of events number of previous observed occur overdispersed patients period plotted in Figure point processes Poisson distribution Poisson process possible previous events process Section random walk randomly recorded recurrent events recursive predictions regression function renewal process response variable shown in Table skew stationary stochastic process survival survivor function tion transition matrix treatment trend update values variance Weibull distribution zero
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