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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Enes Makalic, Daniel Francis Schmidt
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	minimum message length exponential distribution maximum likelihood survival analysis censoring Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/7e84639a565c42d8a823cd963433e248
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7e84639a565c42d8a823cd963433e248
record_format	dspace
spelling	oai:doaj.org-article:7e84639a565c42d8a823cd963433e2482021-11-25T17:29:40ZMinimum Message Length Inference of the Exponential Distribution with Type I Censoring10.3390/e231114391099-4300https://doaj.org/article/7e84639a565c42d8a823cd963433e2482021-10-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1439https://doaj.org/toc/1099-4300Data 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 minimum message length principle can be used to estimate statistical models in the presence of type I random and fixed censoring data. The exponential distribution with fixed and random censoring is used as an example to demonstrate the process where we observe that the minimum message length estimate of mean survival time has some advantages over the standard maximum likelihood estimate.Enes MakalicDaniel Francis SchmidtMDPI AGarticleminimum message lengthexponential distributionmaximum likelihoodsurvival analysiscensoringScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1439, p 1439 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	minimum message length exponential distribution maximum likelihood survival analysis censoring Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	minimum message length exponential distribution maximum likelihood survival analysis censoring Science Q Astrophysics QB460-466 Physics QC1-999 Enes Makalic Daniel Francis Schmidt Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
description	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 minimum message length principle can be used to estimate statistical models in the presence of type I random and fixed censoring data. The exponential distribution with fixed and random censoring is used as an example to demonstrate the process where we observe that the minimum message length estimate of mean survival time has some advantages over the standard maximum likelihood estimate.
format	article
author	Enes Makalic Daniel Francis Schmidt
author_facet	Enes Makalic Daniel Francis Schmidt
author_sort	Enes Makalic
title	Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
title_short	Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
title_full	Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
title_fullStr	Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
title_full_unstemmed	Minimum Message Length Inference of the Exponential Distribution with Type I Censoring
title_sort	minimum message length inference of the exponential distribution with type i censoring
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7e84639a565c42d8a823cd963433e248
work_keys_str_mv	AT enesmakalic minimummessagelengthinferenceoftheexponentialdistributionwithtypeicensoring AT danielfrancisschmidt minimummessagelengthinferenceoftheexponentialdistributionwithtypeicensoring
_version_	1718412294415712256

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

Ejemplares similares