{"title":"使用逆超几何分布建模排名","authors":"Angela D'Elia","doi":"10.1191/1471082X03st047oa","DOIUrl":null,"url":null,"abstract":"A statistical model for ranks is presented, and some results on its parameter are discussed. In particular, maximum likelihood inference is developed, with and without covariates; thus, a statistical model for rank data is introduced in order to link the expressed ranks to the main features of the raters. Some empirical evidence from a marketing survey confirms the usefulness of the proposal in the study of the preferences.","PeriodicalId":354759,"journal":{"name":"Statistical Modeling","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Modelling ranks using the inverse hypergeometric distribution\",\"authors\":\"Angela D'Elia\",\"doi\":\"10.1191/1471082X03st047oa\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A statistical model for ranks is presented, and some results on its parameter are discussed. In particular, maximum likelihood inference is developed, with and without covariates; thus, a statistical model for rank data is introduced in order to link the expressed ranks to the main features of the raters. Some empirical evidence from a marketing survey confirms the usefulness of the proposal in the study of the preferences.\",\"PeriodicalId\":354759,\"journal\":{\"name\":\"Statistical Modeling\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1191/1471082X03st047oa\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1191/1471082X03st047oa","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling ranks using the inverse hypergeometric distribution
A statistical model for ranks is presented, and some results on its parameter are discussed. In particular, maximum likelihood inference is developed, with and without covariates; thus, a statistical model for rank data is introduced in order to link the expressed ranks to the main features of the raters. Some empirical evidence from a marketing survey confirms the usefulness of the proposal in the study of the preferences.
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