{"title":"零截断泊松艾拉穆贾分布的膨胀模型及其在儿童死亡率和遗传学计数数据中的应用","authors":"A. Agarwal, H. Pandey","doi":"10.3329/jsr.v16i1.65361","DOIUrl":null,"url":null,"abstract":"In this paper, an attempt has been made to develop a model as Inflated form of zero truncated Poisson Ailamujia distribution. The proposed model involved two parameters, estimated by the maximum likelihood estimation method and derived as an expression of the Fisher Information Matrix. To evaluate the adequacy and applicability of the proposed model, it is applied to real data sets on child mortality and genetic count data.","PeriodicalId":16984,"journal":{"name":"JOURNAL OF SCIENTIFIC RESEARCH","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Inflated Modelling of Zero Truncated Poisson Ailamujia Distribution and Its Application to Child Mortality and Genetics Count Data\",\"authors\":\"A. Agarwal, H. Pandey\",\"doi\":\"10.3329/jsr.v16i1.65361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an attempt has been made to develop a model as Inflated form of zero truncated Poisson Ailamujia distribution. The proposed model involved two parameters, estimated by the maximum likelihood estimation method and derived as an expression of the Fisher Information Matrix. To evaluate the adequacy and applicability of the proposed model, it is applied to real data sets on child mortality and genetic count data.\",\"PeriodicalId\":16984,\"journal\":{\"name\":\"JOURNAL OF SCIENTIFIC RESEARCH\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JOURNAL OF SCIENTIFIC RESEARCH\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3329/jsr.v16i1.65361\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF SCIENTIFIC RESEARCH","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3329/jsr.v16i1.65361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Inflated Modelling of Zero Truncated Poisson Ailamujia Distribution and Its Application to Child Mortality and Genetics Count Data
In this paper, an attempt has been made to develop a model as Inflated form of zero truncated Poisson Ailamujia distribution. The proposed model involved two parameters, estimated by the maximum likelihood estimation method and derived as an expression of the Fisher Information Matrix. To evaluate the adequacy and applicability of the proposed model, it is applied to real data sets on child mortality and genetic count data.
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