Statistical Inference of a Bivariate Proportional Hazard Model with Grouped Data
This paper proposes a semiparametric proportional hazard model for bivariate duration data in the analysis of two-component systems. Examples include the two infection times of the left and the right kidneys of patients and the two retirement times of married couples. As a generalization of the bivariate exponential distribution a la Marshall and Olkin (1967), the proposed model, on the one hand, controls for the effect of observed covariates, and on the other, achieves great flexibility through nonparametrically specified base-line hazards.
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|Date of creation:||1998|
|Date of revision:|
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mark Yuying An & Roberto Ayala, 1996.
"Nonparametric Estimation of a Survivor Function with Across- Interval-Censored Data,"
- An, Mark Yuying & Ayala, Roberto A., 1996. "Nonparametric Estimation of a Survivor Function with Across-Interval-Censored Data," Working Papers 96-02, Duke University, Department of Economics.
- An, Mark Yuying, 1996.
"Semiparametric Estimation of Willingness to Pay Distributions,"
96-20, Duke University, Department of Economics.
- Mark Yuying An, 1996. "Semiparametric Estimation of Willingness to Pay Distributions," Econometrics 9611001, EconWPA.
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