{"title":"幂最大分布的研究","authors":"R. A. Bakoban, Eman A. Faraj, Najwa S. Alsulami","doi":"10.29121/ijoest.v6.i5.2022.393","DOIUrl":null,"url":null,"abstract":"In this paper, we refer to the new distribution an alpha power Lomax distribution. Various properties of the proposed distribution are obtained including mode, quantiles, entropies, and order statistics are obtained. Parameters of the proposed distribution are estimated using maximum likelihood, ordinary least squares and weighted least squares. Simulation study is conducted to compare between estimators.","PeriodicalId":331301,"journal":{"name":"International Journal of Engineering Science Technologies","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A STUDY ON ALPHA POWER LOMAX DISTRIBUTION\",\"authors\":\"R. A. Bakoban, Eman A. Faraj, Najwa S. Alsulami\",\"doi\":\"10.29121/ijoest.v6.i5.2022.393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we refer to the new distribution an alpha power Lomax distribution. Various properties of the proposed distribution are obtained including mode, quantiles, entropies, and order statistics are obtained. Parameters of the proposed distribution are estimated using maximum likelihood, ordinary least squares and weighted least squares. Simulation study is conducted to compare between estimators.\",\"PeriodicalId\":331301,\"journal\":{\"name\":\"International Journal of Engineering Science Technologies\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Engineering Science Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29121/ijoest.v6.i5.2022.393\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering Science Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29121/ijoest.v6.i5.2022.393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we refer to the new distribution an alpha power Lomax distribution. Various properties of the proposed distribution are obtained including mode, quantiles, entropies, and order statistics are obtained. Parameters of the proposed distribution are estimated using maximum likelihood, ordinary least squares and weighted least squares. Simulation study is conducted to compare between estimators.
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