Based on the principal component analysis method of multivariate statistical analysis, this paper constructs various models for the income sources of urban households in China by means of MATLAB and SPSS. The status quo of the income sources of urban households in China is objectively analyzed by adopting the factor analysis to categorize the 31 provinces , municipalities and autonomous regions in China by income sources. Moreover, the author analyzes the income sources of and correlations between urban residents in different regions of China in 2015 and draws some useful conclusions. Some rational suggestions are presented to further improve the income of residents.
Income Sources of Residents, Principal Component Analysis, Factor Analysis
 National Statistics Bureau. (2015). National Bureau of Statistics of China, China Statistical Publishing House.
 Fang K.T. (1988). Practical regression analysis, Science Press, No. 1, p. 170.
 He X.Q., Liu W.Q. (2002). Applied regression analysis, China Renmin University Press, No. 1, pp. 116-118
 Tang S.Z. (1984). Multivariate statistics analysis method, China Forestry Publishing House, No. 1, pp. 90-101
 Wang X.M. (2002). Comparative analysis on urban residents’ living expenditure by regions, pp. 64-69.
 Picard D. (1995). Testing and estimating change-point in time series, Advances in Applied Probability, Vol. 17, pp. 841-867. DOI: 10.2307/1427090
 Inclán C., Tiao G.C. (1994). Use of cumulative sums of squares for retrospective detection of changes of variances, Journal of the American Statistical Association, No. 89, pp. 913-923.
 Andrews D.W.K., Ploberger W. (1994). Optimal tests when a nuisance parameter is present only under the alternative, Econometrica, No. 62, pp. 1383-1414. DOI: 10.2307/2951753
 Jach A., Kokoszka P. (2004). Subsampling unit root tests for heavy-tailed observations, Methodology and Computing in Applied Probability, No. 6, pp. 73-94. DOI: 10.1023/B:MCAP.0000012416.28866.c5
 Hamilton J.D. (1994). Time Series Analysis, Princeton University Press, New Jersey.
 Bai J., Perron P. (2003). Computation and estimation of multiple structural change models, Applied Econometrics, No. 18, pp. 1-22.