Existence and uniqueness of the MLEs for normal distribution based on general progressively type-II censored samples.

DOI10.1016/S0167-7152(03)00206-2zbMath1116.62320OpenAlexW1978459732MaRDI QIDQ1423113

Publication date: 14 February 2004

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(03)00206-2

zbMATH Keywords

normal distribution log-concavity Hessian matrix location-scale family negative definite matrix type-II censored samples progressively

Mathematics Subject Classification ID

Point estimation (62F10) Censored data models (62N01)

Related Items (12)

On MLEs of the parameters of a modified Weibull distribution based on record values ⋮ Progressive censoring methodology: an appraisal (with comments and rejoinder) ⋮ Estimating the parameters of a truncated normal distribution under progressive type II censoring ⋮ Goodness-of-fit test for exponentiality based on spacings for general progressive Type-II censored data ⋮ On the existence and uniqueness of the maximum likelihood estimators of normal and lognormal population parameters with grouped data ⋮ On MLEs of the parameters of a modified Weibull distribution for progressively type-2 censored samples ⋮ Estimation for the three-parameter lognormal distribution based on progressively censored data ⋮ MLE of parameters of location-scale distribution for complete and partially grouped data ⋮ Reliability sampling plans for a lognormal distribution under progressive first-failure censoring with cost constraint ⋮ On estimating parameters of a progressively censored lognormal distribution ⋮ Unnamed Item ⋮ Estimation of parameters from progressively censored data using EM algorithm

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