{"title":"纪念布赖恩·d·马克思的特刊“p样条的应用”社论","authors":"Paul H.C. Eilers, Thomas Kneib","doi":"10.1177/1471082x231201705","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":49476,"journal":{"name":"Statistical Modelling","volume":"31 1","pages":"0"},"PeriodicalIF":1.2000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Editorial to the Special Issue “Applications of P-Splines” in Memory of Brian D. Marx\",\"authors\":\"Paul H.C. Eilers, Thomas Kneib\",\"doi\":\"10.1177/1471082x231201705\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":49476,\"journal\":{\"name\":\"Statistical Modelling\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Modelling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/1471082x231201705\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Modelling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1471082x231201705","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
期刊介绍:
The primary aim of the journal is to publish original and high-quality articles that recognize statistical modelling as the general framework for the application of statistical ideas. Submissions must reflect important developments, extensions, and applications in statistical modelling. The journal also encourages submissions that describe scientifically interesting, complex or novel statistical modelling aspects from a wide diversity of disciplines, and submissions that embrace the diversity of applied statistical modelling.