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A LARGE SAMPLE ESTIMATE IN MEDIAN LINEAR REGRESSION MODEL Ⅰ: NONTRUNCATED CASE 被引量:1
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作者 陈希孺 《Acta Mathematica Scientia》 SCIE CSCD 1990年第4期412-421,共10页
This paper uses a grouping-adjusting procedure to the data from a median linear regression model, and estimtes the regression coefficients by the method of weighted least squares. This method simplifies computation an... This paper uses a grouping-adjusting procedure to the data from a median linear regression model, and estimtes the regression coefficients by the method of weighted least squares. This method simplifies computation and in the meantime, preserves the same asymptotic normal distribution for the estimator, as in the ordinary minimum L_1-norm estimates. 展开更多
关键词 A LARGE SAMPLE ESTIMATE IN MEDIAN LINEAR regression MODEL NONTRUNCATED CASE
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