Large sample theory of estimation in biased sampling regression models. I (Q1175384)
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scientific article; zbMATH DE number 11538
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| English | Large sample theory of estimation in biased sampling regression models. I |
scientific article; zbMATH DE number 11538 |
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Large sample theory of estimation in biased sampling regression models. I (English)
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25 June 1992
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The paper considers estimation of distributions and slope parameters in a linear regression model \(Y=\beta^ TX+\varepsilon\), when sampling of \((X,Y)\) is biased. The methodology constitutes an extension to the regression case of \textit{Y. Vardi's} work [see ibid. 13, 178-205 (1985, Zbl 0578.62047)].
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biased sampling regression models
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nonparametric maximum likelihood estimates
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\(M\) estimates
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slope parameters
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