Title

General Pivotal Goodness of Fit Test Based on Kernel Density Estimation

Document Type

Presentation

Publication Date

4-2012

Abstract

In this paper we introduce a pivotal goodness of fit test based on empirical kernel density estimation. Our investigation reveals that the new test is more powerful than the traditional goodness of tests found in the literature; namely, the Chi-square and the Kolmogorov-Smirnov (KS) goodness of fit tests. Intensive simulation is conducted to examine the power of the proposed test. Data from a level I Trauma center are used to illustrate the procedures developed in this paper.

Sponsorship/Conference/Institution

Eastern North American Region International Biometric Society Annual Conference (ENAR)

Location

Washington, DC