Received 25.08.2014, Revised 30.10.2014, Accepted 10.12.2014

Application of robust methods in evaluating the results of experimental studies

Yevhen Volodarskyi, Larysa Kosheva

Shows the effect of emissions which may arise in experimental studies, on accuracy the resulting estimates. Considered robust estimation methods, implementation of which takes into account all measurement results without exception. Accounting for all data allows you to choose the the corresponding normal distribution. This provides a reliable of statistical estimates, especially for small volume samples. Are given numerical data to confirm the efficiency of robust methods

robustness, anomalousness, emissions, interquartile range, the statistical reliability of the estimates
34-38
Volodarskyi, Ye., & Kosheva, L. (2014). Application of robust methods in evaluating the results of experimental studies. Information Technologies and Computer Engineering, 11(3), 34-38.

References

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