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Robust estimation and hypothesis testing under short-tailedness and inliers
Date
2005-06-01
Author
Akkaya, Ayşen
Metadata
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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
Journal
TEST
DOI
https://doi.org/10.1007/bf02595400
Collections
Department of Statistics, Article
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A. Akkaya, “Robust estimation and hypothesis testing under short-tailedness and inliers,”
TEST
, pp. 129–150, 2005, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34867.