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Continuous Multivariate Distributions, Volume 1

Continuous Multivariate Distributions, Volume 1 PDF Author: Samuel Kotz
Publisher: John Wiley & Sons
ISBN: 0471183873
Category : Mathematics
Languages : en
Pages : 752

Book Description
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)

Continuous Multivariate Distributions, Volume 1

Continuous Multivariate Distributions, Volume 1 PDF Author: Samuel Kotz
Publisher: John Wiley & Sons
ISBN: 0471183873
Category : Mathematics
Languages : en
Pages : 752

Book Description
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)

Multivariate Statistical Simulation

Multivariate Statistical Simulation PDF Author: Mark E. Johnson
Publisher: John Wiley & Sons
ISBN: 1118150732
Category : Mathematics
Languages : en
Pages : 248

Book Description
Provides state-of-the-art coverage for the researcher confronted with designing and executing a simulation study using continuous multivariate distributions. Concise writing style makes the book accessible to a wide audience. Well-known multivariate distributions are described, emphasizing a few representative cases from each distribution. Coverage includes Pearson Types II and VII elliptically contoured distributions, Khintchine distributions, and the unifying class for the Burr, Pareto, and logistic distributions. Extensively illustrated--the figures are unique, attractive, and reveal very nicely what distributions ``look like.'' Contains an extensive and up-to-date bibliography culled from journals in statistics, operations research, mathematics, and computer science.

Continuous Multivariate Distributions-2

Continuous Multivariate Distributions-2 PDF Author: Norman Lloyd Johnson
Publisher:
ISBN:
Category :
Languages : en
Pages : 306

Book Description


Distributions in Statistics: Continuous Multivariate Distributions

Distributions in Statistics: Continuous Multivariate Distributions PDF Author: Norman L. Johnson
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 360

Book Description
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.

Continuous Multivariate Distributions

Continuous Multivariate Distributions PDF Author: Norman Lloyd Johnson
Publisher:
ISBN:
Category : Verdeling (Waarskynlikheidsteorie)
Languages : en
Pages : 0

Book Description


Continuous Multivariate Distributions

Continuous Multivariate Distributions PDF Author: Samuel Kotz
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 722

Book Description


Continuous Multivariate Distributions

Continuous Multivariate Distributions PDF Author: Samuel Kotz
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Continuous Multivariate Distributions, Volume 1

Continuous Multivariate Distributions, Volume 1 PDF Author: Samuel Kotz
Publisher: John Wiley & Sons
ISBN: 0471654035
Category : Mathematics
Languages : en
Pages : 752

Book Description
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

Continuous Multivariate Distributions PDF Author: Samuel Kotz
Publisher: Wiley Series in Probability and Statistics
ISBN: 9780471183853
Category :
Languages : en
Pages : 450

Book Description


Symmetric Multivariate and Related Distributions

Symmetric Multivariate and Related Distributions PDF Author: Kai Wang Fang
Publisher: CRC Press
ISBN: 1351093940
Category : Mathematics
Languages : en
Pages : 165

Book Description
Since the publication of the by now classical Johnson and Kotz Continuous Multivariate Distributions (Wiley, 1972) there have been substantial developments in multivariate distribution theory especially in the area of non-normal symmetric multivariate distributions. The book by Fang, Kotz and Ng summarizes these developments in a manner which is accessible to a reader with only limited background (advanced real-analysis calculus, linear algebra and elementary matrix calculus). Many of the results in this field are due to Kai-Tai Fang and his associates and appeared in Chinese publications only. A thorough literature search was conducted and the book represents the latest work - as of 1988 - in this rapidly developing field of multivariate distributions. The authors are experts in statistical distribution theory.