dc.contributor.author |
Abd-Elrazek, E. M. |
|
dc.contributor.author |
Qandeel , A.M. |
|
dc.contributor.author |
Habib , S.A. |
|
dc.date.accessioned |
2018-08-01T05:41:54Z |
|
dc.date.available |
2018-08-01T05:41:54Z |
|
dc.date.issued |
2015 |
|
dc.identifier.issn |
2384-4663 |
|
dc.identifier.uri |
https://journal.uob.edu.bh:443/handle/123456789/2064 |
|
dc.description.abstract |
The estimation of population density quantile is of great interest when a parametric form for the underlying distribution is not available. In addition, the density quantile function could be used as an alternative of density function. This paper provides a practical description of new nonparametric estimator of density quantile function based on TL-moments methods and its asymptotic properties are studied. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.rights |
Attribution-NonCommercial-ShareAlike 4.0 International |
* |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
* |
dc.subject |
quantiles |
|
dc.subject |
density |
|
dc.subject |
quantile density function |
|
dc.subject |
TL-moments |
|
dc.subject |
kernel density estimators |
|
dc.title |
Nonparametric Estimation for Density Quantile Function Via TL-Moments |
en_US |
dc.type |
Article |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/IJBSA/020103 |
|
dc.volume |
02 |
|
dc.issue |
01 |
|
dc.source.title |
International Journal of Business and Statistical Analysis |
|
dc.abbreviatedsourcetitle |
IJBSA |
|