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Stochastic processes --- Gaussian distribution --- Gaussian processes --- Gauss, loi de (Statistique) --- Processus gaussiens --- 519.2 --- Normal distribution --- Distribution (Probability theory)

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Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.

Mathematical statistics --- Distribution (Probability theory) --- Multivariate analysis. --- Distribution (Théorie des probabilités) --- Analyse multivariée --- Multivariate analysis --- Méthode statistique --- Statistical methods --- 519.2 --- 519.213 --- 519.535 --- Multivariate distributions --- Multivariate statistical analysis --- Statistical analysis, Multivariate --- Analysis of variance --- Matrices --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Probability. Mathematical statistics --- Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- Distribution (Probability theory). --- 519.213 Probability distributions and densities. Normal distribution. Characteristic functions. Measures of dependence. Infinitely divisible laws. Stable laws --- 519.2 Probability. Mathematical statistics --- Distribution (Théorie des probabilités) --- Analyse multivariée