A METHOD TO IDENTIFY SYSTEMS BASED ON RANDOM BINARY EVENTS

被引：0
|
作者：
Junie, Petre [1 ]
Tertisco, Mihai [1 ]
Eremia, Cristian [1 ]
Ene, Gabriel [1 ]
机构：
[1] Univ Politehn Bucuresti, Dept Automat & Syst Engn, Bucharest, Romania
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2011年 / 73卷 / 03期
关键词：
Modeling; identification; Logistic Regression Model; Monte Carlo method; maximum log likelihood criterion;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The present paper presents results of personal scientific research on modeling and experimental identification of systems with Random Binary Events. Models of these systems is the type of logistic regression. For identification we propose to use maximum likelihood criterion [4]. In order to estimate the model parameters was designed and tested a method of Monte - Carlo. Statistical analysis is of model parameters estimates are given.
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页码：91 / 102
页数：12
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