Robust estimation and hypothesis testing under short-tailedness and inliers

Date

2005-06-01

Author

Akkaya, Ayşen
Tiku, ML

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Estimation and hypothesis testing based on normal samples censored in the middle are developed and shown to be remarkably efficient and robust to symmetric short-tailed 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).

Subject Keywords

Statistics, Probability and Uncertainty, Statistics and Probability

URI

https://hdl.handle.net/11511/34867

Collections

Department of Statistics, Article