Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/105490
Title: A comparison of likelihood and Bayesian inference for the threshold parameter in the inverse Gaussian distribution
Authors: Desmond, A.F.
Yang, Z. 
Keywords: Bayesian estimation
Inverse Gaussian distribution
Maximum likelihood estimation
Threshold parameter
Issue Date: 1998
Citation: Desmond, A.F.,Yang, Z. (1998). A comparison of likelihood and Bayesian inference for the threshold parameter in the inverse Gaussian distribution. Communications in Statistics - Theory and Methods 27 (9) : 2173-2183. ScholarBank@NUS Repository.
Abstract: Likelihood and Bayesian inferences for the threshold parameter of the three parameter inverse Gaussian distribution are compared and contrasted. When there is no prior information available and sample size is moderate, theoretical and empirical results suggest advantages to the Bayesian approach. Use of the conjugate prior can favorably affect the Bayesian inference in a substantial way. Copyright © 1998 by Marcel Dekker, Inc.
Source Title: Communications in Statistics - Theory and Methods
URI: http://scholarbank.nus.edu.sg/handle/10635/105490
ISSN: 03610926
Appears in Collections:Staff Publications

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