Title of article :
Bivariate Extension of Past Entropy
Author/Authors :
Rajesh, Ganapathi Department of Statistics - CUSAT - Cochin-22, India , Sathar, Enchakudiyil Ibrahim Abdul Department of Statistics - University of Kerala - Thiruvananthapuram - 695 581, India , Reshmi, KrishnanVijayalekshmi Ammal Department of Statistics - University of Kerala - Thiruvananthapuram - 695 581, India
Pages :
24
From page :
185
To page :
208
Abstract :
Di Crescenzo and Longobardi (2002) has been proposed a measure of uncertainty related to past life namely past entropy. The present paper addresses the question of extending this concept to bivariate set-up and study some properties of the proposed measure. It is shown that the proposed measure uniquely determines the distribution function. Characterizations for some bivariate lifetime models are obtained using the proposed measure. Further, we define new classes of life distributions based on this measure and properties of the new classes are also discussed. We also proposed a non-parametric kernel estimator for the proposed measure and illustrated performance of the estimator using a numerical data.
Keywords :
Nonparametric Kernel Estimation , Past Entropy , Bivariate Mean Inactivity Time , Bivariate Reversed Hazard Rate
Journal title :
Journal of the Iranian Statistical Society (JIRSS)
Serial Year :
2020
Record number :
2527318
Link To Document :
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