General Pivotal Goodness of Fit Test Based on Kernel Density Estimation

Hani M. Samawi; Robert L. Vogel

General Pivotal Goodness of Fit Test Based on Kernel Density Estimation

Biostatistics, Epidemiology & Environmental Health Sciences

Georgia Southern University

Research output: Contribution to journal › Article › peer-review

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
Journal	JP Journal of Biostatistics
Volume	8
State	Published - Jan 1 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Disciplines

Biostatistics
Community Health
Public Health

Keywords

Goodness of fit tests
Power of the test
Kernel density estimation
Chi-Square Test
Kolmogorov-Smirnov Test

Access to Document

https://www.pphmj.com/abstract/7555.htm

Cite this

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title = "General Pivotal Goodness of Fit Test Based on Kernel Density Estimation",

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.",

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volume = "8",

journal = "JP Journal of Biostatistics",

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T1 - General Pivotal Goodness of Fit Test Based on Kernel Density Estimation

AU - Samawi, Hani M.

AU - Vogel, Robert L.

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N2 - 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.

AB - 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.

KW - Goodness of fit tests

KW - Power of the test

KW - Kernel density estimation

KW - Chi-Square Test

KW - Kolmogorov-Smirnov Test

UR - https://digitalcommons.georgiasouthern.edu/biostat-facpubs/66

UR - https://www.pphmj.com/abstract/7555.htm

M3 - Article

VL - 8

JO - JP Journal of Biostatistics

JF - JP Journal of Biostatistics

ER -

General Pivotal Goodness of Fit Test Based on Kernel Density Estimation

Abstract

UN SDGs

Disciplines

Keywords

Access to Document

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