Publicação
The Beta Generalized Inverted Exponential Distribution with Real Data Applications
| Resumo: | The four-parameter beta generalized inverted exponential distribution is considered in this article. Various properties of the model with graphs of the density function are investigated. Moreover, the maximum likelihood method of estimation is used for estimating the parameters of the model under complete samples. An asymptotic Fisher information matrix of the estimators is found. Additionally, confidence interval estimates of the parameters are obtained. The performances of findings of the article are shown by demonstrating various numerical illustrations through Monte Carlo simulation studies. Finally, applications on real data-sets are provided. |
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| Autores principais: | Bakoban , R.A. |
| Outros Autores: | H. Abu-Zinadah , Hanaa |
| Assunto: | beta generalized inverted exponential distribution Fisher information matrix goodness-of-fit test maximum likelihood estimator Monte Carlo simulation |
| Ano: | 2017 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | unknown |
| Instituição associada: | Instituto Nacional de Estatística |
| Idioma: | inglês |
| Origem: | REVSTAT-Statistical Journal |
| Resumo: | The four-parameter beta generalized inverted exponential distribution is considered in this article. Various properties of the model with graphs of the density function are investigated. Moreover, the maximum likelihood method of estimation is used for estimating the parameters of the model under complete samples. An asymptotic Fisher information matrix of the estimators is found. Additionally, confidence interval estimates of the parameters are obtained. The performances of findings of the article are shown by demonstrating various numerical illustrations through Monte Carlo simulation studies. Finally, applications on real data-sets are provided. |
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