IWGPS KURULUŞLARININ KULLANDIĞI TÜFE HESAPLAMALARINDAKİ İMPUTASYON YÖNTEMLERİ İLE SAĞLAM HÜCRESEL AYKIRI DEĞER VE KAYIP VERİ İMPUTASYON YÖNTEMLERİNİN BİR KARŞILAŞTIRMASI (TEZDEN ÜRETİLMİŞTİR)

Elif Şen, Olcay Arslan
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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.
本研究讨论了IWGPS(*)组织在数据缺失情况下计算CPI(消费者价格指数)的方法。根据技术设备的发展,提出了适合于立即从现场收集数据和产生统计数据的需求的方法,其方式可以适应统计局的数据收集工具。在提到所提方法的直接归算优势的同时,将所提方法的归算结果与目前实践中使用的方法结果以及统计包程序中逐格离群值和缺失数据的归算结果进行了比较。本文提出的方法3 (i_m d19)是为了辅助世界各国CPI计算中使用的代入工具,并根据统计数据生成的,目的是为所有用户提供方便。对于单元格异常值和缺失数据情况,该方法都可以作为一种常用的加权插值方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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