ROBUST INFERENCE FOR LOCATION PARAMETERS
Bei Feng
Broschiertes Buch

ROBUST INFERENCE FOR LOCATION PARAMETERS

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Estimating measures of location is a fundamentalstatistical problem. The sample mean is not always a good choice to estimate location because it isnot resistant to the influence of outliers. To treatthis problem in a precise manner when nonnormality ispresent, we may use robust location estimates. Inthis work, we present a number of robust locationfunctionals and deter- mine their breakdown point andinfluence function. We study robust locationestimates such as the sample trimmed mean, the sampleWinsorized mean and estimates based on symmetricquantiles. Confidence interval estimation andhypothe...