Open AccessBaysian and NonBaysian Methods to Estimate the two parameters of Logistic Distribution
Author(s) -
Iden H. Alkanani,
Sara S. Taher
Publication year - 2014
Publication title -
mağallaẗ baġdād li-l-ʿulūm
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.167
H-Index - 6
eISSN - 2411-7986
pISSN - 2078-8665
DOI - 10.21123/bsj.11.4.1612-1623
Subject(s) - estimator , mathematics , statistics , logistic distribution , measure (data warehouse) , mean squared error , logistic regression , rank (graph theory) , computer science , data mining , combinatorics
In this paper ,the problem of point estimation for the two parameters of logistic distribution has been investigated using simulation technique. The rank sampling set estimator method which is one of the Non_Baysian procedure and Lindley approximation estimator method which is one of the Baysian method were used to estimate the parameters of logistic distribution. Comparing between these two mentioned methods by employing mean square error measure and mean absolute percentage error measure .At last simulation technique used to generate many number of samples sizes to compare between these methods.