DocumentCode :
495525
Title :
Semi-parameter Stochastic Frontier Model and Its Algorithm Based on Multivariate Matrix for Psycho-measurement
Author :
Wu, Haiying ; Tong, Hengqing ; Zhang, Yingbi
Author_Institution :
Dept. of Math., Wuhan Univ. of Tech, Wuhan, China
Volume :
4
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
396
Lastpage :
399
Abstract :
As the results of the psycho-scales are single and simple, we attempt to apply the semi-parameter stochastic frontier model in econometrics, which developed from the stochastic frontier linear model and combined linear regression and non-parameter regression, to psycho-measurement. By means of this innovation, we can overcome the shortcomings of traditional psycho-scale we stated above and make the individual who receives the psycho-measurement much clear about his proportional level of the people who also get the same psycho-scale tests. Via this model, we find the multidimensional data exist, and the multidimensional data are the basis of the higher research, so the storage, operation, structure about the multidimensional data are required, to achieve an efficient decision-making.
Keywords :
data envelopment analysis; decision making; econometrics; matrix algebra; regression analysis; data envelopment anaysis; decision making; econometrics; linear regression; multivariate matrix; nonparameter regression; psycho-measurement; semi-parameter stochastic frontier model; stochastic frontier linear model; Computer science; Data envelopment analysis; Econometrics; Mathematical model; Mathematics; Multidimensional systems; Production; Psychology; Stochastic processes; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.247
Filename :
5171026
Link To Document :
بازگشت