{"title":"具有正象限相关模型的多态相干串并联系统的参数估计","authors":"Leena Kulkarni, S. Sabnis, S. Ghosh","doi":"10.1007/s13171-020-00217-0","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46728,"journal":{"name":"Sankhya-Series A-Mathematical Statistics and Probability","volume":"84 1","pages":"714-742"},"PeriodicalIF":0.6000,"publicationDate":"2020-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s13171-020-00217-0","citationCount":"2","resultStr":"{\"title\":\"Parameter Estimation for Multi-state Coherent Series and Parallel Systems with Positively Quadrant Dependent Models\",\"authors\":\"Leena Kulkarni, S. Sabnis, S. Ghosh\",\"doi\":\"10.1007/s13171-020-00217-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":46728,\"journal\":{\"name\":\"Sankhya-Series A-Mathematical Statistics and Probability\",\"volume\":\"84 1\",\"pages\":\"714-742\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2020-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1007/s13171-020-00217-0\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sankhya-Series A-Mathematical Statistics and Probability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s13171-020-00217-0\",\"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/s13171-020-00217-0","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.