Dictionary and Classified Bibliography of Statistical Distributions in Scientific Work: Multivariate models PDF Download
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Author:
Publisher:
ISBN: 9780899740157
Category : Distribution (Probability theory)
Languages : en
Pages : 431
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Book Description
Author:
Publisher:
ISBN: 9780899740157
Category : Distribution (Probability theory)
Languages : en
Pages : 431
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Book Description
Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 464
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Book Description
Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 488
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Author:
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 500
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Book Description
Author: Ganapati P. Patil
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 624
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Book Description
Author: Charles Taillie
Publisher: Springer Science & Business Media
ISBN: 9400985495
Category : Mathematics
Languages : en
Pages : 458
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Book Description
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Author: Charles Taillie
Publisher: Springer Science & Business Media
ISBN: 9789027713346
Category : Mathematics
Languages : en
Pages : 482
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Book Description
Proceedings of the NATO Advanced Study Institute, Trieste, Italy, July 10-August 1, 1980
Author: A K Gupta
Publisher: CRC Press
ISBN: 1351433016
Category : Mathematics
Languages : en
Pages : 385
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Book Description
Useful in physics, economics, psychology, and other fields, random matrices play an important role in the study of multivariate statistical methods. Until now, however, most of the material on random matrices could only be found scattered in various statistical journals. Matrix Variate Distributions gathers and systematically presents most of the recent developments in continuous matrix variate distribution theory and includes new results. After a review of the essential background material, the authors investigate the range of matrix variate distributions, including: matrix variate normal distribution Wishart distribution Matrix variate t-distribution Matrix variate beta distribution F-distribution Matrix variate Dirichlet distribution Matrix quadratic forms With its inclusion of new results, Matrix Variate Distributions promises to stimulate further research and help advance the field of multivariate statistical analysis.
Author: Gutti Jogesh Babu
Publisher: CRC Press
ISBN: 9780412983917
Category : Mathematics
Languages : en
Pages : 242
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Book Description
Modern astronomers encounter a vast range of challenging statistical problems, yet few are familiar with the wealth of techniques developed by statisticians. Conversely, few statisticians deal with the compelling problems confronted in astronomy. Astrostatistics bridges this gap. Authored by a statistician-astronomer team, it provides professionals and advanced students in both fields with exposure to issues of mutual interest. In the first half of the book the authors introduce statisticians to stellar, galactic, and cosmological astronomy and discuss the complex character of astronomical data. For astronomers, they introduce the statistical principles of nonparametrics, multivariate analysis, time series analysis, density estimation, and resampling methods. The second half of the book is organized by statistical topic. Each chapter contains examples of problems encountered astronomical research and highlights methodological issues. The final chapter explores some controversial issues in astronomy that have a strong statistical component. The authors provide an extensive bibliography and references to software for implementing statistical methods. The "marriage" of astronomy and statistics is a natural one and benefits both disciplines. Astronomers need the tools and methods of statistics to interpret the vast amount of data they generate, and the issues related to astronomical data pose intriguing challenges for statisticians. Astrostatistics paves the way to improved statistical analysis of astronomical data and provides a common ground for future collaboration between the two fields.
Author: Kocherlakota
Publisher: Routledge
ISBN: 1351463454
Category : Mathematics
Languages : en
Pages : 392
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Book Description
This useful reference/text provides a comprehensive study of the various bivariate discretedistributions that have appeared in the literature- written in an accessible manner thatassumes no more than a first course in mathematical statistics.Supplying individualized treatment of topics while simultaneously exploiting the interrelationshipsof the material, Bivariate Discrete Distributions details the latest techniques ofcomputer simulation for the distributions considered ... contains a general introduction tothe structural properties of discrete distributions, including generating functions, momentrelationships, and the basic ideas of generalizing . . . develops distributions using samplingschemes . .. explores the role of compounding ... covers Waring and "short" distributionsfor use in accident theory ... discusses problems of statistical inference, emphasizing techniquespertinent to the discrete case ... and much more!Containing over 1000 helpful equations, Bivariate Discrete Distributions is
