This study
focuses on interval estimation with sample variance estimators based on
Winsorized Mean and Trimmed Mean for the difference of the variances of two
nonnormal populations. In the simulation study, confidence intervals based on
these estimators for the difference of the variances of two non-normally
distributed populations were compared in terms of coverage probabilities and
average length widths. According to simulation study, it was determined that
the coverage probabilities of confidence intervals obtained with estimators
based on both Winsorized and Trimmed means were very close to the nominal
confidence level in any case. However, it was seen that the average length widths
of confidence intervals obtained with sample variance estimator based on
Trimmed Mean were narrower compared to the average length widths of confidence
intervals obtained with sample variance estimator based on Winsorized Mean. In
addition, it was determined that these results were the same when the Type I
error is different. According to these results, it will be appropriate to
prefer interval estimations obtained with sample variance estimator based on
Trimmed Mean since it provides narrower confidence interval for the difference
of the variances of two nonnormal populations.
Winsorized Mean Trimmed Mean Bootstrap Interval Estimation Coverage Probability
Bölüm | Statistics |
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Yazarlar | |
Yayımlanma Tarihi | 20 Eylül 2017 |
Yayımlandığı Sayı | Yıl 2017 Cilt: 30 Sayı: 3 |