scholarly journals توزيعات بديلة لتقدير نموذج الجرعة– الاستجابة في التجارب الحياتية

2007 ◽  
Vol 13 (45) ◽  
pp. 256
Author(s):  
ظافر حسين رشيد ◽  
انتصار عريبي الدوري
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Method ◽  
Extreme Value ◽  
Likelihood Method ◽  
Probit Method

يتطرق البحث الى دراسة خمس توزيعات مختلفة وهي         Probit , Logistic, Arc sine , extreme value , One hit    لتقدير نموذج الجرعة – الاستجابة باستخدام طريقتي طريقة الإمكان الأعظم Maximum Likelihood Method  وطريقة وحدة الاحتمال Probit Method   من خلال تحديد أوزان مختلفة في كل توزيع وكذلك إيجاد كافة المؤشرات الخاصة بالنماذج الحياتية .

scholarly journals Extreme Value Theory in Application to Delivery Delays

Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 788
Author(s):  
Marcin Fałdziński ◽  
Magdalena Osińska ◽  
Wojciech Zalewski
Keyword(s):  
Maximum Likelihood ◽  
Extreme Value Theory ◽  
Maximum Likelihood Method ◽  
Rare Events ◽  
Value Theory ◽  
Extreme Value ◽  
Small Sample ◽  
Generalized Extreme Value Distribution ◽  
Return Level ◽  
Likelihood Method

This paper uses the Extreme Value Theory (EVT) to model the rare events that appear as delivery delays in road transport. Transport delivery delays occur stochastically. Therefore, modeling such events should be done using appropriate tools due to the economic consequences of these extreme events. Additionally, we provide the estimates of the extremal index and the return level with the confidence interval to describe the clustering behavior of rare events in deliveries. The Generalized Extreme Value Distribution (GEV) parameters are estimated using the maximum likelihood method and the penalized maximum likelihood method for better small-sample properties. The findings demonstrate the advantages of EVT-based prediction and its readiness for application.

Extreme Analysis of an Annual Rainfall Dataset

2012 ◽  
Vol 610-613 ◽  
pp. 2756-2760
Author(s):  
Sheng Gong
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Method ◽  
Extreme Values ◽  
Extreme Value ◽  
Likelihood Method ◽  
Annual Rainfall ◽  
Estimation Result ◽  
Return Periods ◽  
Return Levels ◽  
Extreme Values Theory

Annual rainfall values in Fortaleza in Brazil from 1849 to 1979 are modeled with extreme values theory. Generalized Extreme Value (GEV) distribution with and without trend are estimated by using maximum likelihood method for these rainfall values. Moreover, return levels, which is inferred from estimation result of GEV, associated with various return periods are analyzed.

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