Syed Mohsin Ali Kazmi

(Author)

Posterior Analysis for the Maxwell ModelPaperback, 7 September 2012

Posterior Analysis for the Maxwell Model
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Print Length
140 pages
Language
English
Publisher
LAP Lambert Academic Publishing
Date Published
7 Sep 2012
ISBN-10
3659224782
ISBN-13
9783659224782

Description

The Bayesian approach to analyze different statistical models has developed great interest among analysts. Posterior distribution is the workbench of the Bayesian statisticians. It is obtained when prior information is combined with likelihood. Therefore the prior information is necessary for the Bayesian approach. The prior information is purely subjective assessment of an expert before any data have been observed. So here we consider different informative and non-informative priors and compare them to see which one is more suitable for our proposed model. The effort of current study is to explore the heterogeneous population using the Bayesian analysis for simple and mixture of the Maxwell distribution when data is censored and uncensored. Various types of comparisons of prior distributions for the parameter of the Maxwell distribution and loss functions are illustrated. We also consider Type I mixture of the Maxwell distribution which is member of the subclass of the exponential family. As an extension to this work, a comparisons of different loss functions are made. Moreover we have derived the limiting expressions for the Bayes estimators with their variances.

Product Details

Authors:
Syed Mohsin Ali KazmiMuhammad AslamSajid Ali
Book Format:
Paperback
Country of Origin:
US
Date Published:
7 September 2012
Dimensions:
22.86 x 15.24 x 0.84 cm
ISBN-10:
3659224782
ISBN-13:
9783659224782
Language:
English
Location:
Saarbrucken
Pages:
140
Weight:
213.19 gm

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