{"title":"线性趋势和双向线性趋势下样本数量为奇数时的最优系统抽样","authors":"Aritra Mukherjee, Abhishek Singh","doi":"10.1007/s13171-019-00172-5","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46728,"journal":{"name":"Sankhya-Series A-Mathematical Statistics and Probability","volume":"83 1","pages":"128-142"},"PeriodicalIF":0.6000,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13171-019-00172-5","citationCount":"1","resultStr":"{\"title\":\"Optimal Systematic Sampling When Sample Size is Odd in the Presence of Linear Trend and Two-Way Linear Trend\",\"authors\":\"Aritra Mukherjee, Abhishek Singh\",\"doi\":\"10.1007/s13171-019-00172-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":46728,\"journal\":{\"name\":\"Sankhya-Series A-Mathematical Statistics and Probability\",\"volume\":\"83 1\",\"pages\":\"128-142\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s13171-019-00172-5\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sankhya-Series A-Mathematical Statistics and Probability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13171-019-00172-5\",\"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 A-Mathematical Statistics and Probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s13171-019-00172-5","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.