{"title":"基于不同线性组合的改进估计","authors":"Shabnum Gul","doi":"10.18782/2582-2845.8488","DOIUrl":null,"url":null,"abstract":"The present study was taken under consideration in order to propose new modified estimators using different linear combinations for population mean using the auxiliary information of MidRange with coefficient of correlation, coefficient of variation and coefficient of skewness in order to achieve more precision in estimates than the already existing estimators. The properties associated with the proposed estimators are assessed by mean square error and bias and compared with the existing estimators. In the support of the theoretical proposed work we have given numerical illustration.","PeriodicalId":13334,"journal":{"name":"Indian Journal of Pure & Applied Biosciences","volume":"108 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modified Estimation Using Different Linear Combination\",\"authors\":\"Shabnum Gul\",\"doi\":\"10.18782/2582-2845.8488\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study was taken under consideration in order to propose new modified estimators using different linear combinations for population mean using the auxiliary information of MidRange with coefficient of correlation, coefficient of variation and coefficient of skewness in order to achieve more precision in estimates than the already existing estimators. The properties associated with the proposed estimators are assessed by mean square error and bias and compared with the existing estimators. In the support of the theoretical proposed work we have given numerical illustration.\",\"PeriodicalId\":13334,\"journal\":{\"name\":\"Indian Journal of Pure & Applied Biosciences\",\"volume\":\"108 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Pure & Applied Biosciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18782/2582-2845.8488\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Pure & Applied Biosciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18782/2582-2845.8488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modified Estimation Using Different Linear Combination
The present study was taken under consideration in order to propose new modified estimators using different linear combinations for population mean using the auxiliary information of MidRange with coefficient of correlation, coefficient of variation and coefficient of skewness in order to achieve more precision in estimates than the already existing estimators. The properties associated with the proposed estimators are assessed by mean square error and bias and compared with the existing estimators. In the support of the theoretical proposed work we have given numerical illustration.
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