Continuous Multivariate Distributions: Models and Applications, Volume 1, Second Edition
โ Scribed by Samuel Kotz, N. Balakrishnan, Norman L. Johnson(auth.), Walter A. Shewhart, Samuel S. Wilks(eds.)
- Tongue
- English
- Leaves
- 735
- Series
- Wiley Series in Probability and Statistics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Content:
Chapter 44 Systems of Continuous Multivariate Distributions (pages 1โ103):
Chapter 45 Multivariate Normal Distributions (pages 105โ250):
Chapter 46 Bivariate and Trivariate Normal Distributions (pages 251โ348):
Chapter 47 Multivariate Exponential Distributions (pages 349โ430):
Chapter 48 Multivariate Gamma Distributions (pages 431โ483):
Chapter 49 Dirichlet and Inverted Dirichlet Distributions (pages 485โ527):
Chapter 50 Multivariate Liouville Distributions (pages 529โ550):
Chapter 51 Multivariate Logistic Distributions (pages 551โ576):
Chapter 52 Multivariate Pareto Distributions (pages 577โ619):
Chapter 53 Bivariate and Multivariate Extreme Value Distributions (pages 621โ657):
Chapter 54 Natural Exponential Families (pages 659โ696):
๐ SIMILAR VOLUMES
<p><P>This volume covers extensions of the Rasch model, one of the most researched and applied models in educational research and social science. This collection contains 22 chapters by some of the most recognized international experts in the field. They cover topics ranging from general model exten
This volume covers extensions of the Rasch model, one of the most researched and applied models in educational research and social science. This collection contains 22 chapters by some of the most recognized international experts in the field. They cover topics ranging from general model extensions
Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Multivariate General Linear Models: Theory and Applications with SAS, Second Edition presents analyses of simple and complex models, both univariate and multivariate, that employ data sets from a variety