{"title":"利用常规和非常规位置参数降低总体均值估计的均方误差的一种新的指数方法","authors":"H. P. Singh, A. Yadav","doi":"10.22237/jmasm/1568246400","DOIUrl":null,"url":null,"abstract":"Recommended Citation Singh, Housila P. and Yadav, Anita (2020) \"A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters,\" Journal of Modern Applied Statistical Methods: Vol. 18 : Iss. 1 , Article 26. DOI: 10.22237/jmasm/1568246400 Available at: https://digitalcommons.wayne.edu/jmasm/vol18/iss1/26","PeriodicalId":47201,"journal":{"name":"Journal of Modern Applied Statistical Methods","volume":"18 1","pages":"26"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters\",\"authors\":\"H. P. Singh, A. Yadav\",\"doi\":\"10.22237/jmasm/1568246400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recommended Citation Singh, Housila P. and Yadav, Anita (2020) \\\"A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters,\\\" Journal of Modern Applied Statistical Methods: Vol. 18 : Iss. 1 , Article 26. DOI: 10.22237/jmasm/1568246400 Available at: https://digitalcommons.wayne.edu/jmasm/vol18/iss1/26\",\"PeriodicalId\":47201,\"journal\":{\"name\":\"Journal of Modern Applied Statistical Methods\",\"volume\":\"18 1\",\"pages\":\"26\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Modern Applied Statistical Methods\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22237/jmasm/1568246400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Modern Applied Statistical Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22237/jmasm/1568246400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters
Recommended Citation Singh, Housila P. and Yadav, Anita (2020) "A New Exponential Approach for Reducing the Mean Squared Errors of the Estimators of Population Mean Using Conventional and Non-Conventional Location Parameters," Journal of Modern Applied Statistical Methods: Vol. 18 : Iss. 1 , Article 26. DOI: 10.22237/jmasm/1568246400 Available at: https://digitalcommons.wayne.edu/jmasm/vol18/iss1/26
期刊介绍：
The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.
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