๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

The conditional maximum likelihood estimator of the shape parameter in the gamma distribution

โœ Scribed by T. Yanagimoto


Book ID
110590556
Publisher
Springer
Year
1988
Tongue
English
Weight
574 KB
Volume
35
Category
Article
ISSN
0026-1335

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A Maximum Likelihood Estimator for Shape
โœ Eberhard O. Voit ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 251 KB ๐Ÿ‘ 2 views

The S-distribution is a four-parameter distribution that is defined in terms of a differential equation, in which the cumulative is represented as the dependent variable: The article proposes a maximum likelihood estimator for the shape parameters of this distribution.

The Asymptotic Covariance Matrix of the
โœ Dr. D. G. Bonett; P. M. Bentler; J. A. Woodward ๐Ÿ“‚ Article ๐Ÿ“… 1986 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 217 KB ๐Ÿ‘ 3 views

The asymptotic covariance matrix of the maximum likelihood estimator for the log-linear model is given for a general class of conditional Poisson distributions which include the unconditional Poisson, multinomial and product-multinomial, aa special cases. The general conditions are given under which