Journal article
Application of Bernstein Polynomials for smooth estimation of a distribution and density function
Abstract
The empirical distribution function is known to have optimum properties as an estimator of the underlying distribution function. However, it may not be appropriate for estimating continuous distributions because of its jump discontinuities. In this paper, we consider the application of Bernstein polynomials for approximating a bounded and continuous function and show that it can be naturally adapted for smooth estimation of a distribution …
Authors
Babu GJ; Canty AJ; Chaubey YP
Journal
Journal of Statistical Planning and Inference, Vol. 105, No. 2, pp. 377–392
Publisher
Elsevier
Publication Date
7 2002
DOI
10.1016/s0378-3758(01)00265-8
ISSN
0378-3758