On the Parametric Maximum Likelihood Estimator for Independent but Non-identically Distributed Observations with Application to Truncated Data

We investigate the parametric maximum likelihood estimator for truncated data when the truncation value is different according to the observed individual or item. We extend Lehmann’s proof (1983) of the asymptotic properties of the parametric maximum likelihood estimator in the case of independent n...

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Main Authors: Fanny Leroy, Jean-Yves Dauxois, Pascale Tubert-Bitter
Format: Article
Language:English
Published: Springer 2016-02-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/25850503.pdf
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author Fanny Leroy
Jean-Yves Dauxois
Pascale Tubert-Bitter
author_facet Fanny Leroy
Jean-Yves Dauxois
Pascale Tubert-Bitter
author_sort Fanny Leroy
collection DOAJ
description We investigate the parametric maximum likelihood estimator for truncated data when the truncation value is different according to the observed individual or item. We extend Lehmann’s proof (1983) of the asymptotic properties of the parametric maximum likelihood estimator in the case of independent nonidentically distributed observations. Two cases are considered: either the number of distinct probability distribution functions that can be observed in the population from which the sample comes from is finite or this number is infinite. Sufficient conditions for consistency and asymptotic normality are provided for both cases.
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spelling doaj.art-4308de08c61147929d616059319022712022-12-22T02:56:26ZengSpringerJournal of Statistical Theory and Applications (JSTA)1538-78872016-02-0115110.2991/jsta.2016.15.1.8On the Parametric Maximum Likelihood Estimator for Independent but Non-identically Distributed Observations with Application to Truncated DataFanny LeroyJean-Yves DauxoisPascale Tubert-BitterWe investigate the parametric maximum likelihood estimator for truncated data when the truncation value is different according to the observed individual or item. We extend Lehmann’s proof (1983) of the asymptotic properties of the parametric maximum likelihood estimator in the case of independent nonidentically distributed observations. Two cases are considered: either the number of distinct probability distribution functions that can be observed in the population from which the sample comes from is finite or this number is infinite. Sufficient conditions for consistency and asymptotic normality are provided for both cases.https://www.atlantis-press.com/article/25850503.pdfParametric maximum likelihood estimator; Independent non-identically distributed observations; Consistency; Asymptotic normality; Truncated data.
spellingShingle Fanny Leroy
Jean-Yves Dauxois
Pascale Tubert-Bitter
On the Parametric Maximum Likelihood Estimator for Independent but Non-identically Distributed Observations with Application to Truncated Data
Journal of Statistical Theory and Applications (JSTA)
Parametric maximum likelihood estimator; Independent non-identically distributed observations; Consistency; Asymptotic normality; Truncated data.
title On the Parametric Maximum Likelihood Estimator for Independent but Non-identically Distributed Observations with Application to Truncated Data
title_full On the Parametric Maximum Likelihood Estimator for Independent but Non-identically Distributed Observations with Application to Truncated Data
title_fullStr On the Parametric Maximum Likelihood Estimator for Independent but Non-identically Distributed Observations with Application to Truncated Data
title_full_unstemmed On the Parametric Maximum Likelihood Estimator for Independent but Non-identically Distributed Observations with Application to Truncated Data
title_short On the Parametric Maximum Likelihood Estimator for Independent but Non-identically Distributed Observations with Application to Truncated Data
title_sort on the parametric maximum likelihood estimator for independent but non identically distributed observations with application to truncated data
topic Parametric maximum likelihood estimator; Independent non-identically distributed observations; Consistency; Asymptotic normality; Truncated data.
url https://www.atlantis-press.com/article/25850503.pdf
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AT pascaletubertbitter ontheparametricmaximumlikelihoodestimatorforindependentbutnonidenticallydistributedobservationswithapplicationtotruncateddata