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

@article{Bajgier1991PowersOG,
  title={Powers of Goodness-of-Fit Tests in Detecting Balanced Mixed Normal Distributions},
  author={S. M. Bajgier and Lalit K. Aggarwal},
  journal={Educational and Psychological Measurement},
  year={1991},
  volume={51},
  pages={253 - 269}
}
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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