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Contents
Common terms and phrasesACd(m asymptotically normal Bessel function Bessel function distribution bivariate Brownian motion ch.f characteristic function characterization classical Laplace distribution classical Laplace r.v. coefficient conditional consider converges in distribution corresponding Cov(Y covariance matrix defined denote derived deviation discussed distribution function distribution with density distribution with mean entropy equal estimator Exercise exponential distribution finite variance gamma distribution geometric stable laws hyperbolic distributions i.i.d. standard infinitely divisible integral interval Kozubowski Laplace density Laplace laws Laplace motion Laplace random variables likelihood function limit linear location parameter log-Laplace distribution maximized mean zero mixture MLE of 9 MLE's multivariate Laplace normal distribution Note obtain order statistics probability Proof properties Proposition quantile r.v. with mean random sample relation Remark sample median scale parameter Section Show skewness standard classical Laplace standard Laplace standard normal symmetric Laplace distribution Theorem unbiased unimodal univariate Xn:n zero and variance References to this bookFrom other books
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