Linear estimation models by polynomial hazard functions

S.G. Parekh¹ , D.K. Ghosh² , S.R. Patel³

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.2 , pp.262-266, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.262266

Online published on Apr 30, 2019

Copyright © S.G. Parekh, D.K. Ghosh, S.R. Patel . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The paper deals with the estimation of survival function with the use of polynomial hazard function as frailty and general baseline distribution. Considering Cox PH regression model with some frailty distribution the estimation of regressors and frailty parameter is done. Particular cases for parabolic hazard function have been considered with different base line distributions. Further with linear hypothesis of regressors and frailty parameter the linear estimation is carried out by Gauss-Marcoff model. Theory has been supported by suitable example illustrated by taking kidney infection data.

Key-Words / Index Term :
Linear Models; Polynomial Hazard; Frailty variable; Gauss-Markov model; kidney infection

References :
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