Weighted Likelihood Estimation Method Based on the Multidimensional Nominal Response Model  

Weighted Likelihood Estimation Method Based on the Multidimensional Nominal Response Model

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作  者:孙珊珊 陶剑 

机构地区:[1]Information Technology College, Jilin Agricultural University, 130118 [2]School of Mathematics and Statistics, Northeast Normal University, Changchun, 130024

出  处:《Northeastern Mathematical Journal》2008年第3期250-256,共7页东北数学(英文版)

基  金:The NENU-STC07002 of Jilin Province.

摘  要:The Monte Carlo study evaluates the relative accuracy of Warm's (1989) weighted likelihood estimate (WLE) compared to the maximum likelihood estimate (MLE) using the nominal response model. And the results indicate that WLE was more accurate than MLE.The Monte Carlo study evaluates the relative accuracy of Warm's (1989) weighted likelihood estimate (WLE) compared to the maximum likelihood estimate (MLE) using the nominal response model. And the results indicate that WLE was more accurate than MLE.

关 键 词:weighted likelihood estimation item response model nominal response model 

分 类 号:O212.1[理学—概率论与数理统计]

 

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