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- W3204889133 abstract "Abstract This article proposes a class of generator for classical statistical distribution called the shifted Gompertz-G (SHIGO-G) distribution for generating new continuous distributions. Special models of the proposed model were examined together with some of its statistical properties in closed form which makes it tractable for censored data. Its major properties include heavy tail, approximately symmetric, left and right skewed with a combination of exponential and a reverted Gumbel distributions called the Gompertz. The bivariate SHIGO-G is introduced. The parameters estimate of the proposed model was obtained by maximum likelihood method. A Monte Carlo simulation study was employed to investigate the performance of the estimators of the proposed model mean, variance, bias and mean square error. A two real life illustration was used to examine the empirical goodness-of-fit of the test statistic of the proposed model. The results of the real life applications show that the SHIGO-G model provides a better fit for the data set used." @default.
- W3204889133 created "2021-10-11" @default.
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- W3204889133 date "2021-10-01" @default.
- W3204889133 modified "2023-10-17" @default.
- W3204889133 title "The shifted Gompertz-G family of distributions: Properties and applications" @default.
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- W3204889133 doi "https://doi.org/10.1515/ms-2021-0053" @default.
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