M. U. Sohail, N. Koyuncu, Muhammad Areeb Iqbal Sethi
{"title":"不完全数据离散系数的几乎无偏估计","authors":"M. U. Sohail, N. Koyuncu, Muhammad Areeb Iqbal Sethi","doi":"10.52700/scir.v3i2.110","DOIUrl":null,"url":null,"abstract":"This article develops an almost unbiased estimation of coefficient of dispersion by the productive use of coefficient of dispersion of the auxiliary variable in two phase sampling. Expressions for variances of the proposed estimators are obtained up to first order of approximation. The relative comparision of proposed unbiased ratio estimator are compared with navie estimator by using simulated data sets. Thus, we conclude that the suggested imputation methodology is more efficient than traditional estimator.","PeriodicalId":117051,"journal":{"name":"STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Almost Unbiased Estimation of Coefficient of Dispersion from Incomplete Data\",\"authors\":\"M. U. Sohail, N. Koyuncu, Muhammad Areeb Iqbal Sethi\",\"doi\":\"10.52700/scir.v3i2.110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article develops an almost unbiased estimation of coefficient of dispersion by the productive use of coefficient of dispersion of the auxiliary variable in two phase sampling. Expressions for variances of the proposed estimators are obtained up to first order of approximation. The relative comparision of proposed unbiased ratio estimator are compared with navie estimator by using simulated data sets. Thus, we conclude that the suggested imputation methodology is more efficient than traditional estimator.\",\"PeriodicalId\":117051,\"journal\":{\"name\":\"STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52700/scir.v3i2.110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52700/scir.v3i2.110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Almost Unbiased Estimation of Coefficient of Dispersion from Incomplete Data
This article develops an almost unbiased estimation of coefficient of dispersion by the productive use of coefficient of dispersion of the auxiliary variable in two phase sampling. Expressions for variances of the proposed estimators are obtained up to first order of approximation. The relative comparision of proposed unbiased ratio estimator are compared with navie estimator by using simulated data sets. Thus, we conclude that the suggested imputation methodology is more efficient than traditional estimator.