{"title":"IWGPS KURULUŞLARININ KULLANDIĞI TÜFE HESAPLAMALARINDAKİ İMPUTASYON YÖNTEMLERİ İLE SAĞLAM HÜCRESEL AYKIRI DEĞER VE KAYIP VERİ İMPUTASYON YÖNTEMLERİNİN BİR KARŞILAŞTIRMASI (TEZDEN ÜRETİLMİŞTİR)","authors":"Elif Şen, Olcay Arslan","doi":"10.51541/nicel.1307183","DOIUrl":null,"url":null,"abstract":"In this study, imputation methods used by IWGPS (*) organizations in CPI (Consumer Price Index) calculations in case of missing data are discussed. Depending on the development of technological devices, methods suitable for the demand of collecting data and producing statistics from the field immediately, in a way that can be adapted to the data collection tools of statistics offices have been proposed. While the immediate imputation advantages of the proposed methods are mentioned, the proposed imputation results are compared with the method results used in the current practice and imputation results of cellwise outlier and missing data in the statistical package program. The method3 (i_müd19) proposed to assist the imputation tools used in CPI calculation all over the world and produced from the statistics is intended to provide convenience to all users. It can also be considered as a common weighted imputation method for both cellwise outlier and missing data case.","PeriodicalId":382804,"journal":{"name":"Nicel Bilimler Dergisi","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nicel Bilimler Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51541/nicel.1307183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, imputation methods used by IWGPS (*) organizations in CPI (Consumer Price Index) calculations in case of missing data are discussed. Depending on the development of technological devices, methods suitable for the demand of collecting data and producing statistics from the field immediately, in a way that can be adapted to the data collection tools of statistics offices have been proposed. While the immediate imputation advantages of the proposed methods are mentioned, the proposed imputation results are compared with the method results used in the current practice and imputation results of cellwise outlier and missing data in the statistical package program. The method3 (i_müd19) proposed to assist the imputation tools used in CPI calculation all over the world and produced from the statistics is intended to provide convenience to all users. It can also be considered as a common weighted imputation method for both cellwise outlier and missing data case.