DocumentCode :
1568298
Title :
The application of mixed model in dependent data analysis
Author :
Feng, Dengchao ; Cai, Wei ; Wang, Junhong
Author_Institution :
Dept. of Electron. Eng., North China Inst. of Aerosp. Eng., Langfang, China
fYear :
2009
Abstract :
Aiming at the difficulty of dependent data analysis in data measurement field and the application limitation of traditional variance analysis for the processing of correlation data, the principle of mixed model and the corresponding design for the unequal variance data sets were discussed. The fixed effects and random effects were combined with the mixed model which realized the analysis of dependent data. Simulation experiment testified the validity of the model. However, the optimized design for data reconstruction still need further research.
Keywords :
data analysis; correlation data processing; data measurement; data reconstruction; dependent data analysis; variance analysis; Analysis of variance; Covariance matrix; Data analysis; Data engineering; Design engineering; Electric variables measurement; Instruments; Parameter estimation; Probability; Statistical analysis; fixed effects; mixed model; parameter estimation; variance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274847
Filename :
5274847
Link To Document :
بازگشت