{"title":"纵向零膨胀过分散二项响应和正态响应的联合模型","authors":"Seyede Sedighe Azimi, E. B. Samani","doi":"10.1007/s13571-023-00306-8","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":45608,"journal":{"name":"Sankhya-Series B-Applied and Interdisciplinary Statistics","volume":"1 1","pages":"1-21"},"PeriodicalIF":0.6000,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Models for Longitudinal Zero-Inflated Overdispersed Binomial and Normal Responses\",\"authors\":\"Seyede Sedighe Azimi, E. B. Samani\",\"doi\":\"10.1007/s13571-023-00306-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":45608,\"journal\":{\"name\":\"Sankhya-Series B-Applied and Interdisciplinary Statistics\",\"volume\":\"1 1\",\"pages\":\"1-21\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sankhya-Series B-Applied and Interdisciplinary Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13571-023-00306-8\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sankhya-Series B-Applied and Interdisciplinary Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13571-023-00306-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
期刊介绍:
Sankhya, Series A, publishes original, high quality research articles in various areas of modern statistics, such as probability, theoretical statistics, mathematical statistics and machine learning. The areas are interpreted in a broad sense. Articles are judged on the basis of their novelty and technical correctness.
Sankhya, Series B, primarily covers applied and interdisciplinary statistics including data sciences. Applied articles should preferably include analysis of original data of broad interest, novel applications of methodology and development of methods and techniques of immediate practical use. Authoritative reviews and comprehensive discussion articles in areas of vigorous current research are also welcome.