Toward the Estimation of Sharp Deviating Observations in the Indicative Distribution
Authors:
Abstract
When processing experimental data, the problem of identification and exclusion of sharply deviating results of observations is of essential importance. The works of many authors are devoted to this issue, offering various criteria (statistics) for evaluating sharply deviating results. However, as noted by E. Gumbel and Yu. V. Linnik, most authors are limited to the case of normal distribution of the results of observations.
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References
- Gumbel E. Statistics of extreme values. Mir, 1965.
- Linnik Y. V. Method of least squares and bases of the theory of observation processing. Fizmatgiz, 1958.
- Grubbs F. Annals of mathematical statistics, vol. 21, No. 1-4, 1950.