International Monetary Fund

Kernel Density Estimation Based on Grouped Data: The Case of Poverty Assessment

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those ...
JSTOR Daily

Using a dual kernel density estimate as a preliminary evaluation of the spatial distribution of diagnosed chronic kidney disease (CKD) in Edo State, Nigeria

Chronic kidney disease (CKD) is a growing problem in Nigeria, presenting challenges to the nation's health and economy. This study presents an analysis of 442 patients with CKD referred to the renal ...
JSTOR Daily

Nonlinear Kernel Density Estimation for Binned Data: Convergence in Entropy

This is a preview. Log in through your library . Abstract A method is proposed for creating a smooth kernel density estimate from a sample of binned data. Simulations indicate that this method ...
Nature

Nonparametric Methods in Probability Density Estimation

Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...