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Stochastic Processes: Stochastic Processes

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

recursive formula; rate of convergence; asymptotic approximation; parabolic equation; processor heating and cooling; compound poisson insurance risk model; Koksma-Hlawka inequality; phase-type service time distribution; discrete-time Geo/D/1 queue; lower record values; Fourier-cosine series; retrials; state-dependent marked Markovian arrival process; queuing network; stochastic processes; Laplace transform; von-Neumann–Ulam scheme; Monte Carlo method; Lévy process; Wiener–Poisson risk model; queueing systems; quasi-random sequences; closed-form solution; Cauchy problem; product form; estimation; extreme order statistics; guaranteed minimum death benefit; valuation; multidimensional birth-death process; Markovian queueing models; survival probability; truncated distribution; Markovian arrival process; inhomogeneous continuous-time Markov chain; measure of information; option; unbiased estimator; matrix-geometric solution; Dickson–Hipp operator; Fourier transform; multi-class arrival processes; total precipitation volume; one dimensional projection; random sample size; markovian arrival process; cumulative inaccuracy; mutual information; Quasi-Birth-and-Death process; limiting characteristics; testing statistical hypotheses; wet periods; compound Poisson risk model; time-dependent queue-length probability; non-stationary; equity-linked death benefits; wireless telecommunication networks; Fourier cosine series expansion; impatience; generalized Gerber–Shiu discounted penalty function; quasi-Monte Carlo method; expected discounted penalty function; Nonparametric threshold estimation

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03921-963-6

País de edición

Suiza

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