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.
Original language | American English |
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State | Published - Apr 1 2012 |
Event | Eastern North American Region International Biometric Society Annual Conference (ENAR) - Duration: Mar 15 2015 → … |
Conference
Conference | Eastern North American Region International Biometric Society Annual Conference (ENAR) |
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Period | 03/15/15 → … |
Keywords
- Pivotal goodness
- Fit test based
- Kernel density
- Estimation
DC Disciplines
- Biostatistics
- Public Health