Continuous Multivariate Distributions Volume 1


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Continuous Multivariate Distributions, Volume 1


Continuous Multivariate Distributions, Volume 1

Author: Samuel Kotz

language: en

Publisher: John Wiley & Sons

Release Date: 2019-01-17


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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.

Continuous Multivariate Distributions, Volume 1


Continuous Multivariate Distributions, Volume 1

Author: Samuel Kotz

language: en

Publisher: Wiley-Interscience

Release Date: 2019-01-17


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Seit dem Erscheinen der ersten Auflage dieses Werkes (1972) hat sich das Gebiet der kontinuierlichen multivariaten Verteilungen rasch weiterentwickelt. Moderne Anwendungsfelder sind die Erforschung von Hochwasser, Erdbeben, Regenfällen und Stürmen. Entsprechend wurde das Buch überarbeitet und erweitert: Nunmehr zwei Bände beschreiben eine Vielzahl multivariater Verteilungsmodelle anhand zahlreicher Beispiele. (05/00)

Distributions in Statistics: Continuous Multivariate Distributions


Distributions in Statistics: Continuous Multivariate Distributions

Author: Norman L. Johnson

language: en

Publisher:

Release Date: 1972-10-20


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Systems of multivariate continuous distributions; Multinormal distributions; Bivariate and trivariate normal distributions; Multivariate t-distributions; Wishart distribution; Some other distributions associated with the multinormal distributions; Multivariate beta and gamma distributions; Multivariate extreme value and exponential distributions; Miscellaneous real multivariate distributions.