Comparisons of methods of estimation for the half-logistic distribution
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Tarih
2011
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Dergi Başlığı
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Yayıncı
Selcuk University Research Center of Applied Mathematics
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, we consider several methods for estimating the location and scale parameters of the half-logistic distribution. The estimators considered are the maximum likelihood estimators, the approximate maximum likelihood estimators, method of moment estimators, estimators based on percentiles, least squares estimators, weighted least squares estimators and the estimators based on the linear combinations of order statistics. These estimators are compared via Monte Carlo simulations in terms of their biases and mean square errors.
Açıklama
URL: http://sjam.selcuk.edu.tr/sjam/article/view/294
Anahtar Kelimeler
Half-logistic distribution, Maximum likelihood estimator, Monte Carlo simulation, Method of moment estimators, Least squares estimators, Weighted least squares estimators, Percentiles estimators, L-estimators, Yarı lojistik dağıtım, Maksimum olabilirlik tahmin, Monte Carlo simülasyonu, Moment tahmin yöntemi, En küçük kareler tahminleri, Ağırlıklı en küçük kareler tahminleri, Yüzdelik tahmin
Kaynak
Selcuk Journal of Applied Mathematics
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Künye
Asgharzadeh, A., Rezaie, R., Abdi, M. (2011). Comparisons of methods of estimation for the half-logistic distribution. Selcuk Journal of Applied Mathematics, 93-108.
