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Please use this identifier to cite or link to this item:
http://purl.org/purl/4279
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| Title: | Characterizations of bivariate models using dynamic Kullback–Leibler discrimination measures |
| Authors: | Sunoj, S M
Linu, M N
Navarro, J |
| Keywords: | Kullback–Leibler discrimination information
Weighted distributions
Conditionally specified models
Proportional hazard rate |
| Issue Date: | 14-Jun-2011 |
| Publisher: | Elsevier |
| Abstract: | In this paper, the residual Kullback–Leibler discrimination information measure is
extended to conditionally specified models. The extension is used to characterize some
bivariate distributions. These distributions are also characterized in terms of proportional
hazard rate models and weighted distributions. Moreover, we also obtain some bounds
for this dynamic discrimination function by using the likelihood ratio order and some
preceding results. |
| Description: | Statistics and Probability Letters 81 (2011) 1594–1598 |
| URI: | http://dyuthi.cusat.ac.in/purl/4279 |
| Appears in Collections: | Dr.Sunoj, S M
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