| dc.contributor.author |
Sunoj, S M |
|
| dc.contributor.author |
Unnikrishnan Nair, N |
|
| dc.contributor.author |
Sankaran, P G |
|
| dc.date.accessioned |
2014-07-25T06:31:15Z |
|
| dc.date.available |
2014-07-25T06:31:15Z |
|
| dc.date.issued |
2012-12-01 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4289 |
|
| dc.description |
Journal of the Korean Statistical Society 42 (2013) 329–342 |
en_US |
| dc.description.abstract |
Partial moments are extensively used in literature for modeling and analysis of lifetime
data. In this paper, we study properties of partial moments using quantile functions.
The quantile based measure determines the underlying distribution uniquely. We then
characterize certain lifetime quantile function models. The proposed measure provides
alternate definitions for ageing criteria. Finally, we explore the utility of the measure to
compare the characteristics of two lifetime distributions |
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 |
Partial moments |
en_US |
| dc.subject |
Quantile function |
en_US |
| dc.subject |
Ageing properties |
en_US |
| dc.subject |
Characterizations |
en_US |
| dc.title |
Quantile based reliability aspects of partial moments |
en_US |
| dc.type |
Article |
en_US |