A bayesian via laplace approximation on log-gamma model with censored data

A bayesian via laplace approximation on log-gamma model with censored data

Log-gamma distribution is the extension of gamma distribution which is more flexible, versatile and provides a great fit to some skewed and censored data. Problem/Objective: In this paper we introduce a solution to closed forms of its survival function of the model which shows the suitability and fl...

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Bibliographic Details
Main Authors: Yusuf, Madaki Umar, Abu Bakar, Mohd Rizam, Husain, Qasim Nasir, Ibrahim, Noor Akma, Arasan, Jayanthi
Format: Article
Language:English
Published: Canadian Center of Science and Education 2016
Online Access:http://psasir.upm.edu.my/id/eprint/54806/
http://psasir.upm.edu.my/id/eprint/54806/1/A%20Bayesian%20via%20Laplace%20Approximation%20on%20Log-gamma%20Model%20with.pdf

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