Article ID Journal Published Year Pages File Type
1152248 Statistics & Probability Letters 2012 5 Pages PDF
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
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