Minimum Message Length Inference of the Exponential Distribution with Type I Censoring

Data with censoring is common in many areas of science and the associated statistical models are generally estimated with the method of maximum likelihood combined with a model selection criterion such as Akaike’s information criterion. This manuscript demonstrates how the information theoretic mini...

Full description

Bibliographic Details

Published in:	Entropy
Main Authors:	Enes Makalic, Daniel Francis Schmidt
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Subjects:	minimum message length exponential distribution maximum likelihood survival analysis censoring
Online Access:	https://www.mdpi.com/1099-4300/23/11/1439