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Title: A new weighted Gompertz distribution with applications to reliability data (English)
Author: Bakouch, Hassan S.
Author: Abd El-Bar, Ahmed M. T.
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 62
Issue: 3
Year: 2017
Pages: 269-296
Summary lang: English
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Category: math
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Summary: A new weighted version of the Gompertz distribution is introduced. It is noted that the model represents a mixture of classical Gompertz and second upper record value of Gompertz densities, and using a certain transformation it gives a new version of the two-parameter Lindley distribution. The model can be also regarded as a dual member of the log-Lindley-$X$ family. Various properties of the model are obtained, including hazard rate function, moments, moment generating function, quantile function, skewness, kurtosis, conditional moments, mean deviations, some types of entropy, mean residual lifetime and stochastic orderings. Estimation of the model parameters is justified by the method of maximum likelihood. Two real data sets are used to assess the performance of the model among some classical and recent distributions based on some evaluation goodness-of-fit statistics. As a result, the variance-covariance matrix and the confidence interval of the parameters, and some theoretical measures have been calculated for such data for the proposed model with discussions. (English)
Keyword: continuous distribution
Keyword: distributional properties
Keyword: weight function
Keyword: estimation
Keyword: estimated survival function
MSC: 60E05
MSC: 60E99
MSC: 62E15
idZBL: Zbl 06738493
idMR: MR3661040
DOI: 10.21136/AM.2017.0277-16
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Date available: 2017-06-01T14:37:13Z
Last updated: 2020-07-02
Stable URL: http://hdl.handle.net/10338.dmlcz/146781
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