DocumentCode :
3625608
Title :
Estimation Procedure for a New Bivariate Distribution
Author :
Anton Cedilnik;Andrej Blejec;Katarina Kosmelj
Author_Institution :
Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia. Anton.Cedilnik@bf.uni-lj.si
fYear :
2007
fDate :
6/1/2007 12:00:00 AM
Firstpage :
159
Lastpage :
166
Abstract :
We introduced a new bivariate distribution for a random vector Z = [X, Y]T, where X and Y are positive continuous variables. The distribution is a generalization of the Weibull distribution, it has 7 parameters: r and s are power parameters, m and n are moment parameters, a and b are scaling parameters, and p is the linking parameter. The ML estimation turns out to be a very difficult task. In this paper we present the estimation procedure. It was tested on simulated data, which we generated using the acceptance-rejection method. The results are very satisfactory.
Keywords :
"Maximum likelihood estimation","Parameter estimation","Testing","Weibull distribution","Joining processes","Computational modeling","Random variables","Information technology","Stability","Statistics"
Publisher :
ieee
Conference_Titel :
Information Technology Interfaces, 2007. ITI 2007. 29th International Conference on
ISSN :
1330-1012
Print_ISBN :
953-7138-09-7
Type :
conf
DOI :
10.1109/ITI.2007.4283763
Filename :
4283763
Link To Document :
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