Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1152248 | Statistics & Probability Letters | 2012 | 5 Pages |
Abstract
Quantile functions are efficient and equivalent alternatives to distribution functions in modeling and analysis of statistical data (see Gilchrist, 2000 and Nair and Sankaran, 2009). Motivated by this, in the present paper, we introduce a quantile based Shannon entropy function. We also introduce residual entropy function in the quantile setup and study its properties. Unlike the residual entropy function due to Ebrahimi (1996), the residual quantile entropy function determines the quantile density function uniquely through a simple relationship. The measure is used to define two nonparametric classes of distributions.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
S.M. Sunoj, P.G. Sankaran,