Application of PCA in Assessing Influential Factors and Characteristics of Modern Distance Education in Rural Area
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According to mathematical analysis, the primary components analysis (PCA) is used to analyze the effect of influential factors and characteristics on modern distance education (MDE). Based on PCA model and, the results are computed. Through case study, it can be seen that some factors and characteristics play very important role in influencing MDE and all factors and characteristics should be taken into account because the effect depends on the interaction. Through analysis and discussion, it is concluded that, under the premise of minimizing the information loss of data, the application of PCA in analyzing effect on MDE in rural area is approved to be practicable.
[1] T. W. Anderson. An Introduction to Multivariate Statistical Analysis, 2nd Edition. , 1985 .
[2] Nanny Wermuth,et al. Multivariate Statistical Analysis , 2011, International Encyclopedia of Statistical Science.
[3] Zhao Yi-wen. On modern distance education , 2002 .
[4] E. Smith. Methods of Multivariate Analysis , 1997 .
[5] N. Giri. Multivariate Statistical Analysis : Revised And Expanded , 2003 .