Properties and Applications of the Type I Half-logistic Nadarajah-Haghighi Distribution

IF 0.6 Q4 STATISTICS & PROBABILITY Austrian Journal of Statistics Pub Date : 2023-03-12 DOI:10.17713/ajs.v52i2.1363
M. Shrahili, Mustapha Muhammad, I. Elbatal, Isyaku Muhammad, Mouna Bouchane, B. Abba
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引用次数: 3

Abstract

A new three-parameter distribution called the type I half-logistic Nadarajah-Haghighi (T IHL N H ) is proposed. We discussed some important mathematical and statistical properties of the new model such as an explicit form of its r th moment, mean deviations,quantile function, Bonferroni and Lorenz curves. The Shannon entropy and Renyi entropy are computed, the expression for the Kullback-Leibler divergence measure is provided. The model parameters estimation was approached by the maximum likelihoodestimation (MLE), and the information matrix is obtained. The finite sample properties of the MLEs are investigated numerically by simulation studies; by examining the bias and mean square error of the estimators, and the results was satisfactory. We used tworeal data applications to demonstrate the superior performance of the T IHL N H in terms of fit over some other existing lifetime models.
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I型半物流Nadarajah-Haghighi分布的性质及应用
提出了一种新的三参数分布,称为I型半logistic Nadarajah-Haghighi (T IHL N H)。我们讨论了新模型的一些重要的数学和统计性质,如r阶矩的显式形式、平均偏差、分位数函数、Bonferroni曲线和Lorenz曲线。计算了Shannon熵和Renyi熵,给出了Kullback-Leibler散度测度的表达式。采用最大似然估计法(MLE)逼近模型参数估计,得到信息矩阵。通过数值模拟研究了MLEs的有限样本特性;通过对估计器的偏置和均方误差进行检验,结果令人满意。我们使用了两个数据应用程序来证明T IHL N H在拟合方面优于其他一些现有的寿命模型。
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来源期刊
Austrian Journal of Statistics
Austrian Journal of Statistics STATISTICS & PROBABILITY-
CiteScore
1.10
自引率
0.00%
发文量
30
审稿时长
24 weeks
期刊介绍: The Austrian Journal of Statistics is an open-access journal (without any fees) with a long history and is published approximately quarterly by the Austrian Statistical Society. Its general objective is to promote and extend the use of statistical methods in all kind of theoretical and applied disciplines. The Austrian Journal of Statistics is indexed in many data bases, such as Scopus (by Elsevier), Web of Science - ESCI by Clarivate Analytics (formely Thompson & Reuters), DOAJ, Scimago, and many more. The current estimated impact factor (via Publish or Perish) is 0.775, see HERE, or even more indices HERE. Austrian Journal of Statistics ISNN number is 1026597X Original papers and review articles in English will be published in the Austrian Journal of Statistics if judged consistently with these general aims. All papers will be refereed. Special topics sections will appear from time to time. Each section will have as a theme a specialized area of statistical application, theory, or methodology. Technical notes or problems for considerations under Shorter Communications are also invited. A special section is reserved for book reviews.
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