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Volumn 38, Issue 1, 2012, Pages 53-62

Variance inflation factors in the analysis of complex survey data

Author keywords

Cluster sample; Collinearity diagnostics; Linearization variance estimator; Stratified sample; Survey weighted least squares

Indexed keywords


EID: 84863846991     PISSN: 07140045     EISSN: 14920921     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (112)

References (20)
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    • Regression estimation for survey samples
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  • 11
    • 77949505466 scopus 로고    scopus 로고
    • Unpublished doctoral dissertation, University of Maryland. Available at
    • Li, J. (2007b). Regression diagnostics for complex survey data. Unpublished doctoral dissertation, University of Maryland. Available at http://drum.lib.umd.edu/bitstream/1903/7598/1/umiumd-4863.pdf.
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    • Li, J.1
  • 12
    • 77949516218 scopus 로고    scopus 로고
    • Survey weighted hat matrix and leverages
    • Li, J., and Valliant, R. (2009). Survey weighted hat matrix and leverages. Survey Methodology, 35(1), 15-24.
    • (2009) Survey Methodology , vol.35 , Issue.1 , pp. 15-24
    • Li, J.1    Valliant, R.2
  • 13
    • 79953158163 scopus 로고    scopus 로고
    • Linear regression influence diagnostics for unclustered survey data
    • Li, J., and Valliant, R. (2011). Linear regression influence diagnostics for unclustered survey data. Journal of Official Statistics, 20, 99-119.
    • (2011) Journal of Official Statistics , vol.20 , pp. 99-119
    • Li, J.1    Valliant, R.2
  • 14
    • 84863817251 scopus 로고    scopus 로고
    • Unpublished doctoral dissertation, University of Maryland. Available at
    • Liao, D. (2010). Collinearity Diagnostics for Complex Survey Data. Unpublished doctoral dissertation, University of Maryland. Available at http://drum.lib.umd.edu/bitstream/1903/10881/1/Liao_umd_0117E_11537.pdf.
    • (2010) Collinearity Diagnostics For Complex Survey Data
    • Liao, D.1
  • 15
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    • Extrema of quadratic forms and statistical applications
    • Lin, C. (1984). Extrema of quadratic forms and statistical applications. Communications in Statistics-Theory and Methods, 13, 1517-1520.
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    • Lin, C.1
  • 17
    • 0000619935 scopus 로고
    • The impact of collinearity involving the intercept term on the numerical accuracy of regression
    • Simon, S.D., and Lesage, J.P. (1988). The impact of collinearity involving the intercept term on the numerical accuracy of regression. Computer Science in Economics and Management, 1, 137-152.
    • (1988) Computer Science In Economics and Management , vol.1 , pp. 137-152
    • Simon, S.D.1    Lesage, J.P.2
  • 18
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    • Yale Univeristy Cowles Foundation Disscussion Paper No.383. Available at
    • Smith, G. (1974). Multicollinearity and forecasting. Yale Univeristy Cowles Foundation Disscussion Paper No.383. Available at http://cowles.econ.yale.edu/P/cd/d03b/d0383.pdf.
    • (1974) Multicollinearity and Forecasting
    • Smith, G.1
  • 19
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    • Collinearity and least squares regression
    • Steward, G.W. (1987). Collinearity and least squares regression. Statistical Science, 2(1), 68-84.
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    • Steward, G.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.