| dc.contributor.author |
Sunoj, S M |
|
| dc.contributor.author |
Linu, M N |
|
| dc.contributor.author |
Navarro, J |
|
| dc.date.accessioned |
2014-07-25T05:56:31Z |
|
| dc.date.available |
2014-07-25T05:56:31Z |
|
| dc.date.issued |
2011-06-14 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4279 |
|
| dc.description |
Statistics and Probability Letters 81 (2011) 1594–1598 |
en_US |
| dc.description.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. |
en_US |
| dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Elsevier |
en_US |
| dc.subject |
Kullback–Leibler discrimination information |
en_US |
| dc.subject |
Weighted distributions |
en_US |
| dc.subject |
Conditionally specified models |
en_US |
| dc.subject |
Proportional hazard rate |
en_US |
| dc.title |
Characterizations of bivariate models using dynamic Kullback–Leibler discrimination measures |
en_US |
| dc.type |
Article |
en_US |