{"title":"一种新的整数离散分布:证券交易和洪水数据的分析与应用研究","authors":"C. Chesneau, H. Bakouch, Lishamol Tomy, G. Veena","doi":"10.1080/09720510.2021.1995199","DOIUrl":null,"url":null,"abstract":"Abstract This paper is devoted to the properties and applications of a new one-parameter discrete distribution with support on integers. The new distribution represents a discrete analogue of the double Lindley distribution, a symmetric version of the negative binomial distribution and a weighted version of the Inusah-Kozubowski distribution. Some properties of the new distribution are derived, such as log-concavity, mode(s), cumulative density function, quantile function, probability generating function, raw moments, skewness, kurtosis, and order statistics. The parameter of the distribution is estimated by the maximum likelihood method. The usefulness of the new distribution is illustrated by means of two practical datasets with integer values on ℤ, namely stock exchange and flood data.","PeriodicalId":270059,"journal":{"name":"Journal of Statistics and Management Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new discrete distribution on integers: Analytical and applied study on stock exchange and flood data\",\"authors\":\"C. Chesneau, H. Bakouch, Lishamol Tomy, G. Veena\",\"doi\":\"10.1080/09720510.2021.1995199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract This paper is devoted to the properties and applications of a new one-parameter discrete distribution with support on integers. The new distribution represents a discrete analogue of the double Lindley distribution, a symmetric version of the negative binomial distribution and a weighted version of the Inusah-Kozubowski distribution. Some properties of the new distribution are derived, such as log-concavity, mode(s), cumulative density function, quantile function, probability generating function, raw moments, skewness, kurtosis, and order statistics. The parameter of the distribution is estimated by the maximum likelihood method. The usefulness of the new distribution is illustrated by means of two practical datasets with integer values on ℤ, namely stock exchange and flood data.\",\"PeriodicalId\":270059,\"journal\":{\"name\":\"Journal of Statistics and Management Systems\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Statistics and Management Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/09720510.2021.1995199\",\"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 Statistics and Management Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09720510.2021.1995199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new discrete distribution on integers: Analytical and applied study on stock exchange and flood data
Abstract This paper is devoted to the properties and applications of a new one-parameter discrete distribution with support on integers. The new distribution represents a discrete analogue of the double Lindley distribution, a symmetric version of the negative binomial distribution and a weighted version of the Inusah-Kozubowski distribution. Some properties of the new distribution are derived, such as log-concavity, mode(s), cumulative density function, quantile function, probability generating function, raw moments, skewness, kurtosis, and order statistics. The parameter of the distribution is estimated by the maximum likelihood method. The usefulness of the new distribution is illustrated by means of two practical datasets with integer values on ℤ, namely stock exchange and flood data.