Robust estimation and hypothesis testing under short-tailedness and inliers |
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Authors: | Ay?en D Akkaya Moti L Tiku |
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Affiliation: | (1) Department of Statistics, METU, 06531 Ankara, Turkey;(2) Present address: Department of Mathematics and Statistics, McMaster University, Ontario, Canada |
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Abstract: | Estimation and hypothesis testing based on normal samples censored in the middle are developed and shown to be remarkably
efficient and robust to symmetric shorttailed distributions and to inliers in a sample. This negates the perception that sample
mean and variance are the best robust estimators in such situations (Tiku, 1980; Dunnett, 1982).
Professor Emeritus, Department of Mathematics and Statistics, McMaster University,
Professor Emeritus, Department of Mathematics and Statistics, McMaster University, |
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Keywords: | Symmetric distributions inliers modified likelihood hypothesis testing power function robustness |
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