Statistical inference based on left truncated and interval censored data from log-location-scale family of distributions

DOI10.1080/03610918.2019.1577968zbMath1489.62316OpenAlexW2921022534WikidataQ128296190 ScholiaQ128296190MaRDI QIDQ5082592

Debanjan Mitra, Narayanaswamy Balakrishnan

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1577968

zbMATH Keywords

EM algorithminterval censoringmaximum likelihood estimatesWeibull distributionlognormal distributionleft truncationstochastic EM algorithmmissing information principle

Mathematics Subject Classification ID

Point estimation (62F10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (1)

Inference of dependent left-truncated and right-censored competing risks data from a general bivariate class of inverse exponentiated distributions

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