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Persistent link: https://www.econbiz.de/10010982316
In this paper the task of identifying outliers in exponential samples is treated conceptionally in the sense of Davies and Gather (1989, 1993) by means of a so called outlier region. In case of an exponential distribution, an empirical approximation of such a region also called an outlier...
Persistent link: https://www.econbiz.de/10010316456
Persistent link: https://www.econbiz.de/10010316457
In this paper the task of identifying outliers in exponential samples is treated conceptionally in the sense of Davies and Gather (1989, 1993) by means of a so called outlier region. In case of an exponential distribution, an empirical approximation of such a region also called an outlier...
Persistent link: https://www.econbiz.de/10010467718
We consider a new estimator of scale for exponential samples which is most B-robust in the sense of Hampel et al. (1986). This estimator is compared with two other estimators which were proposed by Rousseeuw and Croux (1993) but for a Gaussian model. All three estimators have the same breakdown...
Persistent link: https://www.econbiz.de/10010955474
Observations which seem to deviate strongly from the main part of the data may occur in every statistical analysis. These observations usually labelled as outliers, may cause completely misleading results when using standard methods and may also contain information about special events or...
Persistent link: https://www.econbiz.de/10009295217
This paper deals with the problem of estimating the location parameter of a two parameter exponential distribution in case of contaminated data. Since in this case the sample minimum is an extremely unreliable estimator, robust alternatives are necessary. We investigate two types of estimators...
Persistent link: https://www.econbiz.de/10010982318
Persistent link: https://www.econbiz.de/10010982333
Persistent link: https://www.econbiz.de/10010982338
This paper deals with the problem of estimating the location parameter of a two parameter exponential distribution in case of contaminated data. Since in this case the sample minimum is an extremely unreliable estimator, robust alternatives are necessary. We investigate two types of estimators...
Persistent link: https://www.econbiz.de/10009777486