توليد المتغيرات العشوائية لتخمين معلات توزيع لوجستك باستخدام محاكاة منت كارلو == Generating Random Variates for Estimating the Parameters of Logistic Distribution by Monte Carlo Simulation
Author name:
زهراء امروي علي حيدر الحجار
Supervisor name:
اكرم محمد العبود
General topic:
Mathematics
Specific topic:
Statistics
Degree:
Master
University:
Al-Nahrain University - College Of Science - Department Of Mathematics
Language:
English
University location:
Baghdad
First pages:
27T1087 - p.pdf
Abstract:
In this work, we consider the Logistic distribution of two parameters for its importance in statistics. Mathematical and statistical properties of Logistic distribution are considered, moments and higher moments are illustrated to the distribution parameters, namely, moments methods, maximum likelihood method, modified moments method, least squares method are discussed theoretically and assessed practically by utilizing two procedures of Monte Carlo simulation for generating random variates from the Logistic distribution. Properties of the estimators, such as Bias, variance, skewness, kurtosis and mean square error measurement are tabulated.
