Frechet dağılımının şekil parametresinin tahmini için alternatif tahmin yöntemi
Öz
Anahtar Kelimeler
Kaynakça
- [1] T. Kernane, Z. Raizah, 2014, Estimation of the Parameters of Extreme Value Distributions from Truncated Data Via the EM Algorithm Estimation of the Parameters of Extreme Value Distributions from Truncated Data Via the EM Algorithm, [https://hal.archives-ouvertes.fr/hal-00503252v2/document].
- [2] M. Frechet, 1927, Sur la loi de probabilite de lecart maximum, Ann. Soc. Polon. Math, 6(93) [https://www.statisticshowto.datasciencecentral.com/frechet-distribution/]
- [3] K. Abbas, T. Yincai, 2012, Comparison of Estimation Methods for Frechet Distribution with Known Shape, Caspian Journal of Applied Sciences Research, 1(10), pp. 58-64.
- [4] S. Kotz, S. Nadarajah, 2000, Extreme Value Distributions Theory and Applications, Imperial College Press, Singapure.
- [5] D.G. Harlow, 2002, Applications of the Frechet distribution function, Int. J. of Materials & Product Technology, 17, 482-495.
- [6] A. Zaharim, S.K. Najid, A.M. Razali, K. Sopian, 2009, Analyzing malaysian wind speed data using statistical distribution, In Proceedings of the 4th IASME/WSEAS International conference on Energy and Environment. University of Cambridge, February, 24-26
- [7] S. Nadarajah, S. Kotz, 2008, Sociological models based on Fréchet random variables, Qual Quant, 42, 89–95.
- [8] F.G. Akgül, B. Şenoğlu (2018) Comparison of Estimation Methods for Inverse Weibull Distribution. In: Tez M., von Rosen D. (eds) Trends and Perspectives in Linear Statistical Inference. Contributions to Statistics. Springer, Cham.
Ayrıntılar
Birincil Dil
Türkçe
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Y. Murat Bulut
0000-0002-9910-6555
Türkiye
Yayımlanma Tarihi
31 Aralık 2018
Gönderilme Tarihi
13 Temmuz 2018
Kabul Tarihi
31 Ekim 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 11 Sayı: 2