A Monte Carlo Study on the Performance of a Corrected Formula for Epsilon Approximate Suggested by Lecoutre.

Chen, Ru San; Dunlap, William P.

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Peer reviewed

ERIC Number: EJ488849

Record Type: Journal

Publication Date: 1994

Pages: N/A

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ISSN: ISSN-0362-9791

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A Monte Carlo Study on the Performance of a Corrected Formula for Epsilon Approximate Suggested by Lecoutre.

Chen, Ru San; Dunlap, William P.

Journal of Educational Statistics, v19 n2 p119-26 Sum 1994

The present simulation study confirms that the corrected epsilon approximate test of B. Lecoutre yields a less biased estimation of population epsilon and reduces Type I error rates when compared to the epsilon approximate test of H. Huynh and L. S. Feldt. (SLD)

Descriptors: Computer Simulation, Estimation (Mathematics), Evaluation Methods, Monte Carlo Methods, Performance, Population Distribution, Statistical Bias, Statistical Studies

Publication Type: Reports - Research; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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