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A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data - MaRDI portal

A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data (Q449981)

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scientific article; zbMATH DE number 6075589
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English
A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data
scientific article; zbMATH DE number 6075589

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    A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data (English)
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    3 September 2012
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    accelerated failure time model
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    B-spline
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    efficient score function
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    semiparametric efficiency
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    sieve maximum likelihood estimation
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