DocumentCode
3048558
Title
Biostatistics Algorithm: Evaluation Model with Convex Constraint and its Parameters Estimates
Author
Hengqing, Tong ; Shaojun, Zhong ; Tianzheng, Liu ; Yanfang, Deng
Author_Institution
Dept. of Math., Wuhan Univ. of Technol., Wuhan
fYear
2007
fDate
6-8 July 2007
Firstpage
402
Lastpage
405
Abstract
There are so many evaluation problems in biostatistics that are solved well. Based on actual evaluation work we proposed a kind of generalized linear regression model with convex constraint and unknown dependent variable. We give the maximum likelihood estimate of the parameters using EM algorithm. The convergences of both LSE and MLE are proved. Our work may give a useful tool for biostatistics evaluation and a precondition for deep research of the model.
Keywords
biology computing; maximum likelihood estimation; regression analysis; biostatistics algorithm; convergences; convex constraint; evaluation model; generalized linear regression model; maximum likelihood estimate; Biological system modeling; Forestry; Linear regression; Mathematical model; Mathematics; Maximum likelihood estimation; Parameter estimation; Reactive power;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.106
Filename
4272590
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