Lognormal lifetimes and likelihood-based inference for flexible cure rate models based on COM-Poisson family
type: Item
instance of: scholarly article
title: Lognormal lifetimes and likelihood-based inference for flexible cure rate models based on COM-Poisson family
zbMATH Open document ID: 1471.62022
author: Suvra Pal
author: Narayanaswamy Balakrishnan
published in: Computational Statistics and Data Analysis
publication date: 2018-11-02T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6970872
zbMATH Keywords: cure rate models
zbMATH Keywords: long-term survivor
zbMATH Keywords: Conway-Maxwell Poisson (COM-Poisson) distribution
zbMATH Keywords: weighted Poisson distribution
zbMATH Keywords: maximum likelihood estimators
zbMATH Keywords: EM algorithm
zbMATH Keywords: profile likelihood
zbMATH Keywords: likelihood ratio test
zbMATH Keywords: Akaike information criterion (AIC)
zbMATH Keywords: Bayesian information criterion (BIC)
describes a project that uses: SPLIDA
describes a project that uses: GAMLSS
MaRDI profile type: Publication
full work available at URL: j.csda.2013.04.018
OpenAlex ID: W2068151314
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DOI: 10.1016/J.CSDA.2013.04.018
description: scientific article; zbMATH DE number 6970872