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ESTIMATING A GENERALIZED CENSORED REGRESSION-MODEL - A NEW METHOD
被引:0
|作者:
IZADI, HS
机构:
[1] University of Lancaster, Lancaster
关键词:
D O I:
10.1016/0165-1765(92)90094-F
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
This letter describes, with the aid of an empirical illustration, a new estimation method for censored regression models, based on the assumption that the error term belongs to the Pearson system of distributions.
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页码:19 / 22
页数:4
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