An algebraic aspect of Pareto mixture parameter estimation using censored sample: A Bayesian approach-Reference-Cited by-同舟云学术

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An algebraic aspect of Pareto mixture parameter estimation using censored sample: A Bayesian approach

Published:2018-09-12 Issue:3-4 Volume:17 Page:463-477
ISSN:1757-448X
Container-title:Journal of Integrative Neuroscience
language:
Short-container-title:JIN

Author:

Saleem Muhammad¹,Sharif Kashif²,Fahmi Aliya³

Affiliation:

1. Department of Statistics, Government Postgraduate College of Science, Faisalabad, Pakistan. E-mail: selim.stat.qau@gmail.com

2. Department of Mathematics and Statistics, University of Agriculture, Faisalabad, Pakistan. E-mail: kashifstat@hotmail.com

3. Department of Mathematics, Hazara University, Mansehra, Pakistan. E-mail: aliyafahmi@gmail.com

Publisher

IOS Press

Subject

General Medicine,General Neuroscience

Reference19 articles.

1. Geometrical properties of Pareto distribution;Abdel-All;Applied mathematics and computation,2003

2. Bayes estimation of the lifetime parameters for the exponential distribution;Abu-Taleb;Journal of Mathematics and Statistics,2007

3. A truncated Pareto distribution;Ali;Computer Communications,2006

4. A.K. Bansal, Bayesian Parametric Inference, Alpha Science International Limited, 2007.

5. On maximum likelihood estimation of a Pareto mixture;Bee;Computational Statistics,2013

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