Scaled Consistent Estimation of Regression Parameters in Frailty Models

Tadeusz Bednarski et al · Lodz University Press · 2018

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Author / responsible party

Tadeusz Bednarski et al

Publisher

Lodz University Press

Year

2018

ISSN

0208-6018

ISSN

0208-6018

Language

English

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A computationally attractive method of estimation of parameters for a class of frailty regression models is discussed. The method uses maximum likelihood estimation for the classical exponential regression model. Scaled Fisher consistency is shown to hold and a simulation study indicating good asymptotic properties of the method, as well as real data case analysis, are presented.

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APA 7

al, T. B. E. (2018). Scaled Consistent Estimation of Regression Parameters in Frailty Models. https://doi.org/10.18778/0208-6018.338.08

MLA

al, Tadeusz Bednarski et. "Scaled Consistent Estimation of Regression Parameters in Frailty Models." 2018. https://doi.org/10.18778/0208-6018.338.08.

Chicago

al, Tadeusz Bednarski et. 2018. "Scaled Consistent Estimation of Regression Parameters in Frailty Models.". https://doi.org/10.18778/0208-6018.338.08.

Harvard

al, T. B. E. 2018, Scaled Consistent Estimation of Regression Parameters in Frailty Models, Lodz University Press, available at: https://doi.org/10.18778/0208-6018.338.08 [Accessed 8 Aug. 2026].

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Title: Scaled Consistent Estimation of Regression Parameters in Frailty Models

Author / contributors: Tadeusz Bednarski et al

Publisher: Lodz University Press

Publication year: 2018

ISSN: 0208-6018

ISSN: 0208-6018

Language: English

Subjects

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frailty models; maximum likelihood estimation; Fisher consistency