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The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data

The Erlang-Truncated Exponential ETE distribution is modified and the new lifetime distribution is called the Extended Erlang-Truncated Exponential EETE distribution. Some statistical and reliability properties of the new distribution are given and the method of maximum likelihood estimate was propo...

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Autores principales: Okorie, I.E., Akpanta, A.C., Ohakwe, J., Chikezie, D.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5497395/
https://www.ncbi.nlm.nih.gov/pubmed/28706998
http://dx.doi.org/10.1016/j.heliyon.2017.e00296
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author Okorie, I.E.
Akpanta, A.C.
Ohakwe, J.
Chikezie, D.C.
author_facet Okorie, I.E.
Akpanta, A.C.
Ohakwe, J.
Chikezie, D.C.
author_sort Okorie, I.E.
collection PubMed
description The Erlang-Truncated Exponential ETE distribution is modified and the new lifetime distribution is called the Extended Erlang-Truncated Exponential EETE distribution. Some statistical and reliability properties of the new distribution are given and the method of maximum likelihood estimate was proposed for estimating the model parameters. The usefulness and flexibility of the EETE distribution was illustrated with an uncensored data set and its fit was compared with that of the ETE and three other three-parameter distributions. Results based on the minimized log-likelihood ([Formula: see text]), Akaike information criterion (AIC), Bayesian information criterion (BIC) and the generalized Cramér–von Mises [Formula: see text] statistics shows that the EETE distribution provides a more reasonable fit than the one based on the other competing distributions.
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spelling pubmed-54973952017-07-13 The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data Okorie, I.E. Akpanta, A.C. Ohakwe, J. Chikezie, D.C. Heliyon Article The Erlang-Truncated Exponential ETE distribution is modified and the new lifetime distribution is called the Extended Erlang-Truncated Exponential EETE distribution. Some statistical and reliability properties of the new distribution are given and the method of maximum likelihood estimate was proposed for estimating the model parameters. The usefulness and flexibility of the EETE distribution was illustrated with an uncensored data set and its fit was compared with that of the ETE and three other three-parameter distributions. Results based on the minimized log-likelihood ([Formula: see text]), Akaike information criterion (AIC), Bayesian information criterion (BIC) and the generalized Cramér–von Mises [Formula: see text] statistics shows that the EETE distribution provides a more reasonable fit than the one based on the other competing distributions. Elsevier 2017-06-22 /pmc/articles/PMC5497395/ /pubmed/28706998 http://dx.doi.org/10.1016/j.heliyon.2017.e00296 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Okorie, I.E.
Akpanta, A.C.
Ohakwe, J.
Chikezie, D.C.
The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data
title The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data
title_full The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data
title_fullStr The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data
title_full_unstemmed The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data
title_short The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data
title_sort extended erlang-truncated exponential distribution: properties and application to rainfall data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5497395/
https://www.ncbi.nlm.nih.gov/pubmed/28706998
http://dx.doi.org/10.1016/j.heliyon.2017.e00296
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