Alternative robust estimation methods for parameters of Gumbel distribution: an application to wind speed data with outliers
Yazarlar (1)
Doç. Dr. Demet HAN AYDIN Sinop Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Wind and Structures an International Journal (Q2) | ||
| Dergi ISSN | 1226-6116 Dergi Bilgileri (2018) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2018 |
| Cilt / Sayı / Sayfa | 26 / 6 / 383–395 | DOI | 10.12989/was.2018.26.6.383 |
| UAK Araştırma Alanları |
İstatistiksel Analiz
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| Özet |
| An accurate determination of wind speed distribution is the basis for an evaluation of the wind energy potential required to design a wind turbine, so it is important to estimate unknown parameters of wind speed distribution. In this paper, Gumbel distribution is used in modelling wind speed data, and alternative robust estimation methods to estimate its parameters are considered. The methodologies used to obtain the estimators of the parameters are least absolute deviation, weighted least absolute deviation, median/MAD and least median of squares. The performances of the estimators are compared with traditional estimation methods (i.e., maximum likelihood and least squares) according to bias, mean square deviation and total mean square deviation criteria using a Monte-Carlo simulation study for the data with and without outliers. The simulation results show that least median of squares and median/MAD … |
| Anahtar Kelimeler |
| Gumbel distribution | Least absolute deviation | Median/MAD estimator | Monte-Carlo simulation | Wind speed data |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 6 |
| Scopus | 5 |
| Google Scholar | 9 |