{"title":"伪林德利幂变换分布,数学表征及渐近性质","authors":"Modou Ngom, Moumouni Diallo, A. M. Fall, G. Lo","doi":"10.17654/0972086322004","DOIUrl":null,"url":null,"abstract":"We introduce a new generalization of the Pseudo-Lindley distribution by applying alpha power transformation. The obtained distribution is referred as the Pseudo-Lindley alpha power transformed distribution (PL-APT ). Some tractable mathematical properties of the PL-APT distribution as reliability, hazard rate, order statistics and entropies are provided. The maximum likelihood method is used to obtain the parameters’ estimation of the PL-APT distribution. The asymptotic properties of the proposed distribution are discussed. Also, a simulation study is performed to compare the modeling capability and flexibility of PL-APT with Lindley and Pseudo-Lindley distributions. The PL-APT provides a good fit as the Lindley and the Pseudo-Lindley distribution. The extremal domain of attraction of PL-APT is found and its quantile and extremal quantile functions studied. Finally, the extremal value index is estimated by the double-indexed Hill’s estimator (Ngom and Lo, 2016) and related asymptotic statistical tests are provided and characterized. Modou Ngom † Work Affiliation : Ministry of High School (SENEGAL) LERSTAD, Gaston Berger University, Saint-Louis, Sénégal Imhotep Mathematical Center Email:ngom.modou1@ugb.edu.sn, ngomodoungom@gmail.com. Moumouni Diallo †† Work Affiliation : Université des Sciences Sociale et de Gestion de Bamako(USSGB) Imhotep Mathematical Center Email: moudiallo1@gmail.com Adja Mbarka Fall ††† Work Affiliation : Université Iba Der Thiam de Thiés (UIDT) Imhotep Mathematical Center LERSTAD, Gaston Berger University, Saint-Louis, Sénégal Email:adjambarka.fall@univ-thies.sn Gane Samb Lo †††† LERSTAD, Gaston Berger University, Saint-Louis, Sénégal (main affiliation) LSTA, Pierre and Marie Curie University, Paris VI, France AUST African University of Sciences and Technology, Abuja, Nigeria Imhotep Mathematical Center Email:gane-samb.lo@edu.ugb.sn, gslo@aust.edu.ng, ganesamblo@ganesamblo.net Permanent address : 1178 Evanston Dr NW T3P 0J9,Calgary, Alberta, Canada.","PeriodicalId":430943,"journal":{"name":"Far East Journal of Theoretical Statistics","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THE PSEUDO-LINDLEY ALPHA POWER TRANSFORMED DISTRIBUTION, MATHEMATICAL CHARACTERIZATIONS AND ASYMPTOTIC PROPERTIES\",\"authors\":\"Modou Ngom, Moumouni Diallo, A. 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引用次数: 0
摘要
利用幂变换对伪林德利分布进行了新的推广。得到的分布称为伪林德利alpha功率变换分布(PL-APT)。给出了PL-APT分布的一些可处理的数学性质,如可靠性、风险率、序统计量和熵。利用极大似然法获得了PL-APT分布的参数估计。讨论了所提分布的渐近性质。此外,还进行了仿真研究,比较了PL-APT与Lindley和Pseudo-Lindley分布的建模能力和灵活性。PL-APT提供了一个很好的拟合作为林德利和伪林德利分布。找到了PL-APT的引力极值域,并对其分位数和极值分位数函数进行了研究。最后,利用双指标Hill’s估计器(Ngom and Lo, 2016)估计极值指标,并给出了相关的渐近统计检验并进行了表征。工作单位:Ministry of High School(塞内加尔)LERSTAD, Gaston Berger University, Saint-Louis, ssamn Imhotep Mathematical Center电子邮件:ngom.modou1@ugb.edu.sn, ngomodoungom@gmail.com。Moumouni Diallo††工作单位:巴马科社会科学大学(USSGB) Imhotep数学中心Email: moudiallo1@gmail.com Adja Mbarka Fall†††工作单位:Iba Der Thiam de thihotep大学(UIDT)伊姆霍特普数学中心LERSTAD,加斯顿·伯杰大学,圣路易,ssamn电子邮件:adjambarka.fall@univ-thies.sn Gane Samb Lo†††LERSTAD,加斯顿·伯杰大学,圣路易,ssamn(主要单位)LSTA,皮埃尔和玛丽·居里大学,巴黎六世,法国AUST非洲科技大学,阿布贾,尼日利亚伊姆霍特普数学中心电子邮件:gane-samb.lo@edu.ugb.sn, gslo@aust.edu.ng,ganesamblo@ganesamblo.net永久地址:1178 Evanston Dr NW T3P 0J9,加拿大阿尔伯塔省卡尔加里。
THE PSEUDO-LINDLEY ALPHA POWER TRANSFORMED DISTRIBUTION, MATHEMATICAL CHARACTERIZATIONS AND ASYMPTOTIC PROPERTIES
We introduce a new generalization of the Pseudo-Lindley distribution by applying alpha power transformation. The obtained distribution is referred as the Pseudo-Lindley alpha power transformed distribution (PL-APT ). Some tractable mathematical properties of the PL-APT distribution as reliability, hazard rate, order statistics and entropies are provided. The maximum likelihood method is used to obtain the parameters’ estimation of the PL-APT distribution. The asymptotic properties of the proposed distribution are discussed. Also, a simulation study is performed to compare the modeling capability and flexibility of PL-APT with Lindley and Pseudo-Lindley distributions. The PL-APT provides a good fit as the Lindley and the Pseudo-Lindley distribution. The extremal domain of attraction of PL-APT is found and its quantile and extremal quantile functions studied. Finally, the extremal value index is estimated by the double-indexed Hill’s estimator (Ngom and Lo, 2016) and related asymptotic statistical tests are provided and characterized. Modou Ngom † Work Affiliation : Ministry of High School (SENEGAL) LERSTAD, Gaston Berger University, Saint-Louis, Sénégal Imhotep Mathematical Center Email:ngom.modou1@ugb.edu.sn, ngomodoungom@gmail.com. Moumouni Diallo †† Work Affiliation : Université des Sciences Sociale et de Gestion de Bamako(USSGB) Imhotep Mathematical Center Email: moudiallo1@gmail.com Adja Mbarka Fall ††† Work Affiliation : Université Iba Der Thiam de Thiés (UIDT) Imhotep Mathematical Center LERSTAD, Gaston Berger University, Saint-Louis, Sénégal Email:adjambarka.fall@univ-thies.sn Gane Samb Lo †††† LERSTAD, Gaston Berger University, Saint-Louis, Sénégal (main affiliation) LSTA, Pierre and Marie Curie University, Paris VI, France AUST African University of Sciences and Technology, Abuja, Nigeria Imhotep Mathematical Center Email:gane-samb.lo@edu.ugb.sn, gslo@aust.edu.ng, ganesamblo@ganesamblo.net Permanent address : 1178 Evanston Dr NW T3P 0J9,Calgary, Alberta, Canada.