The impact of multiple imputation on incomplete rank data with missing covariates

碩士 === 國立臺北大學 === 統計學系 === 102 === Ranking multiple items is common in survey research and forms complete rank data. Researchers also use models to quantify the covariates' impact on the ranks. Because of various reasons, raters often can not evaluate all items resulting incomplete rank data. M...

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Bibliographic Details
Main Authors: LIU, TING-HSUAN, 劉亭萱
Other Authors: LIN, CHIEN-FU JEFF
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/21713941301600149893