Journal article
Powers of Goodness-of-Fit Tests in Detecting Balanced Mixed Normal Distributions
Educational and psychological measurement, v 51(2), pp 253-269
Jun 1991
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Measurements of a natural, social or psychological phenomenon in many cases come from a sample drawn from a mixture of populations. The presence of a mixed population and its characteristics however may be a-priori unknown. This state of ignorance can lead to bias in a summary measure of a phenomenon. In this paper, a test based on sample kurtosis is shown to be more powerful than other known tests in detecting a class of mixed normal distributions.
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Details
- Title
- Powers of Goodness-of-Fit Tests in Detecting Balanced Mixed Normal Distributions
- Creators
- Steve M. Bajgier - Drexel UniversityLalit K. Aggarwal - Drexel University
- Publication Details
- Educational and psychological measurement, v 51(2), pp 253-269
- Publisher
- Sage
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1991FT13700001
- Scopus ID
- 2-s2.0-84973815858
- Other Identifier
- 991019173685204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Mathematics, Interdisciplinary Applications
- Psychology, Educational
- Psychology, Mathematical