Statistical Inference for Lindley Model based on Type II Censored Data
In this paper, the moment-based, maximum likelihood and Bayes estimators for the unknown parameter of the Lindley model based on Type II censored data are discussed. The expectation maximization (EM) algorithm and direct maximization methods are used to obtained the maximum likelihood estimator (MLE...
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doaj-2a8254c108d3485ca0af36011c1cc40b2020-11-24T21:29:06ZengAtlantis PressJournal of Statistical Theory and Applications (JSTA)1538-78872017-05-0116210.2991/jsta.2017.16.2.4Statistical Inference for Lindley Model based on Type II Censored DataA. AsgharzadehH.K.T. NgR. ValiollahiM. AzizpourIn this paper, the moment-based, maximum likelihood and Bayes estimators for the unknown parameter of the Lindley model based on Type II censored data are discussed. The expectation maximization (EM) algorithm and direct maximization methods are used to obtained the maximum likelihood estimator (MLE). Existence and uniqueness of the moment-based and maximum likelihood estimators are discussed and a bias corrected estimator based on parametric bootstrap is developed. For Bayesian estimation, since the Bayes estimator cannot be obtained in an explicit form, two approximations based on Lindley and the importance sampling methods are used. Asymptotic confidence intervals, bootstrap confidence intervals and credible intervals are also proposed. Based on Type II censored data, the prediction of future observations is discussed. The analysis of a real data has been presented for illustrative purposes. Finally, Monte Carlo simulations are performed to compare the performances of the proposed estimation methods.https://www.atlantis-press.com/article/25878524.pdfLindley model; Type II censoring; Maximum likelihood estimator; Bayes estimator; Importance Sampling. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Asgharzadeh H.K.T. Ng R. Valiollahi M. Azizpour |
spellingShingle |
A. Asgharzadeh H.K.T. Ng R. Valiollahi M. Azizpour Statistical Inference for Lindley Model based on Type II Censored Data Journal of Statistical Theory and Applications (JSTA) Lindley model; Type II censoring; Maximum likelihood estimator; Bayes estimator; Importance Sampling. |
author_facet |
A. Asgharzadeh H.K.T. Ng R. Valiollahi M. Azizpour |
author_sort |
A. Asgharzadeh |
title |
Statistical Inference for Lindley Model based on Type II Censored Data |
title_short |
Statistical Inference for Lindley Model based on Type II Censored Data |
title_full |
Statistical Inference for Lindley Model based on Type II Censored Data |
title_fullStr |
Statistical Inference for Lindley Model based on Type II Censored Data |
title_full_unstemmed |
Statistical Inference for Lindley Model based on Type II Censored Data |
title_sort |
statistical inference for lindley model based on type ii censored data |
publisher |
Atlantis Press |
series |
Journal of Statistical Theory and Applications (JSTA) |
issn |
1538-7887 |
publishDate |
2017-05-01 |
description |
In this paper, the moment-based, maximum likelihood and Bayes estimators for the unknown parameter of the Lindley model based on Type II censored data are discussed. The expectation maximization (EM) algorithm and direct maximization methods are used to obtained the maximum likelihood estimator (MLE). Existence and uniqueness of the moment-based and maximum likelihood estimators are discussed and a bias corrected estimator based on parametric bootstrap is developed. For Bayesian estimation, since the Bayes estimator cannot be obtained in an explicit form, two approximations based on Lindley and the importance sampling methods are used. Asymptotic confidence intervals, bootstrap confidence intervals and credible intervals are also proposed. Based on Type II censored data, the prediction of future observations is discussed. The analysis of a real data has been presented for illustrative purposes. Finally, Monte Carlo simulations are performed to compare the performances of the proposed estimation methods. |
topic |
Lindley model; Type II censoring; Maximum likelihood estimator; Bayes estimator; Importance Sampling. |
url |
https://www.atlantis-press.com/article/25878524.pdf |
work_keys_str_mv |
AT aasgharzadeh statisticalinferenceforlindleymodelbasedontypeiicensoreddata AT hktng statisticalinferenceforlindleymodelbasedontypeiicensoreddata AT rvaliollahi statisticalinferenceforlindleymodelbasedontypeiicensoreddata AT mazizpour statisticalinferenceforlindleymodelbasedontypeiicensoreddata |
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1725967425575321600 |