Powers of Goodness-of-Fit Tests in Detecting Balanced Mixed Normal Distributions.

Bajgier, Steve M.; Aggarwal, Lalit K.

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Peer reviewed

ERIC Number: EJ430673

Record Type: Journal

Publication Date: 1991

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0013-1644

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Powers of Goodness-of-Fit Tests in Detecting Balanced Mixed Normal Distributions.

Bajgier, Steve M.; Aggarwal, Lalit K.

Educational and Psychological Measurement, v51 n2 p253-69 Sum 1991

Ignorance of the characteristics of a mixed population may lead to bias in a summary measure of a phenomenon. A test based on sample kurtosis is demonstrated by a simulation study to be more powerful than six other known tests in detecting a class of mixed normal distributions. (SLD)

Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Goodness of Fit, Graphs, Mathematical Models, Power (Statistics), Research Problems, Statistical Bias, Tables (Data)

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

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Author Affiliations: N/A