{"title":"Ampadu-G分布族的极大似然估计","authors":"C. Ampadu","doi":"10.33552/ABBA.2019.02.000530","DOIUrl":null,"url":null,"abstract":"In this section, we obtain the maximum likelihood estimators (MLEs) for the parameters of the Ampadu-G family of distributions. For this, let X1,X2, · · · ,Xn be a random sample of size n from the Ampadu-G family of distributions. The likelihood function is given by *Corresponding author: Clement Boateng Ampadu, Department of Biostatistics, USA. Received Date: March 29, 2019 Published Date: April 26, 2019 ISSN: 2641-6336 DOI: 10.33552/ABBA.2019.02.000530","PeriodicalId":434648,"journal":{"name":"Annals of Biostatistics & Biometric Applications","volume":"21 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Maximum Likelihood Estimation in the Ampadu-G Family of Distributions\",\"authors\":\"C. Ampadu\",\"doi\":\"10.33552/ABBA.2019.02.000530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this section, we obtain the maximum likelihood estimators (MLEs) for the parameters of the Ampadu-G family of distributions. For this, let X1,X2, · · · ,Xn be a random sample of size n from the Ampadu-G family of distributions. The likelihood function is given by *Corresponding author: Clement Boateng Ampadu, Department of Biostatistics, USA. Received Date: March 29, 2019 Published Date: April 26, 2019 ISSN: 2641-6336 DOI: 10.33552/ABBA.2019.02.000530\",\"PeriodicalId\":434648,\"journal\":{\"name\":\"Annals of Biostatistics & Biometric Applications\",\"volume\":\"21 8\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Biostatistics & Biometric Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33552/ABBA.2019.02.000530\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Biostatistics & Biometric Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33552/ABBA.2019.02.000530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maximum Likelihood Estimation in the Ampadu-G Family of Distributions
In this section, we obtain the maximum likelihood estimators (MLEs) for the parameters of the Ampadu-G family of distributions. For this, let X1,X2, · · · ,Xn be a random sample of size n from the Ampadu-G family of distributions. The likelihood function is given by *Corresponding author: Clement Boateng Ampadu, Department of Biostatistics, USA. Received Date: March 29, 2019 Published Date: April 26, 2019 ISSN: 2641-6336 DOI: 10.33552/ABBA.2019.02.000530