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Volumn 1, Issue 1, 2007, Pages 11-18

Clarifying some issues in the regression analysis of survey data

Author keywords

Error term; Extended linear model; Nonignorable; Sample design; Standard linear model

Indexed keywords


EID: 79953146792     PISSN: None     EISSN: 18643361     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (31)

References (13)
  • 1
    • 33750193971 scopus 로고
    • On Sampford’s procedure of unequal probability sampling without replacement
    • Asok, C., & Sukhatme, B. V. (1976). On Sampford’s procedure of unequal probability sampling without replacement. Journal of the American Statistical Association, 71, 912-918.
    • (1976) Journal of the American Statistical Association , vol.71 , pp. 912-918
    • Asok, C.1    Sukhatme, B.V.2
  • 2
    • 0000601258 scopus 로고
    • On the variances of asymptotically normal estimators from complex surveys
    • Binder, D. A. (1983). On the variances of asymptotically normal estimators from complex surveys. International Statistical Review, 51, 279-292.
    • (1983) International Statistical Review , vol.51 , pp. 279-292
    • Binder, D.A.1
  • 3
    • 0000017135 scopus 로고
    • Regression analysis for sample survey
    • Fuller, W. A. (1975). Regression analysis for sample survey. Sankhya-The Indian Journal of Statistics, 37(Series C), 117-132.
    • (1975) Sankhya-The Indian Journal of Statistics , vol.37 , Issue.SeriesC , pp. 117-132
    • Fuller, W.A.1
  • 4
    • 0042922571 scopus 로고    scopus 로고
    • Inference for superpopulation parameters using sample surveys
    • Graubard, B. I., & Korn, E. L. (2002). Inference for superpopulation parameters using sample surveys. Statistical Science, 17, 73-96.
    • (2002) Statistical Science , vol.17 , pp. 73-96
    • Graubard, B.I.1    Korn, E.L.2
  • 5
    • 0032272476 scopus 로고
    • Variance estimation for superpopulation parameters
    • Korn, E. L., & Graubard, B. I. (1976). Variance estimation for superpopulation parameters. Statistica Sinica, 8, 1131-1151.
    • (1976) Statistica Sinica , vol.8 , pp. 1131-1151
    • Korn, E.L.1    Graubard, B.I.2
  • 6
    • 0007321550 scopus 로고
    • A model-based look at linear regression with survey data
    • Kott, P. S. (1991). A model-based look at linear regression with survey data. The American Statistician, 45, 107-112.
    • (1991) The American Statistician , vol.45 , pp. 107-112
    • Kott, P.S.1
  • 7
    • 37949057842 scopus 로고    scopus 로고
    • Linear regression in the face of specification error: A model-based exploration of randomization-based techniques
    • Kott, P. S. (1996). Linear regression in the face of specification error: a model-based exploration of randomization-based techniques. SSC Proceedings of the Survey Methods Section, 39-47.
    • (1996) SSC Proceedings of the Survey Methods Section , pp. 39-47
    • Kott, P.S.1
  • 8
    • 51149112110 scopus 로고    scopus 로고
    • A practical use for instrumental-variable calibration
    • Kott, P. S. (2003). A practical use for instrumental-variable calibration. Journal of Official Statistics, 19, 265-272.
    • (2003) Journal of Official Statistics , vol.19 , pp. 265-272
    • Kott, P.S.1
  • 9
    • 0042961872 scopus 로고    scopus 로고
    • Improving survey-weighted least squares regression
    • Magee, L. (1998). Improving survey-weighted least squares regression. Journal of the Royal Statistical Society, 60(Series B), 115-126.
    • (1998) Journal of the Royal Statistical Society , vol.60 , Issue.SeriesB , pp. 115-126
    • Magee, L.1
  • 11
    • 0000690774 scopus 로고    scopus 로고
    • Parametric and semiparametric estimation of regression models fitted to survey data
    • Pfeffermann, D., & Sverchkov, M. (1999). Parametric and semiparametric estimation of regression models fitted to survey data. Sankhya-The Indian Journal of Statistics, 61(Series B), 166-186.
    • (1999) Sankhya-The Indian Journal of Statistics , vol.61 , Issue.SeriesB , pp. 166-186
    • Pfeffermann, D.1    Sverchkov, M.2
  • 13
    • 0019220709 scopus 로고
    • Using least squares to approximate unknown regression functions
    • White, H. (1980). Using least squares to approximate unknown regression functions. International Economic Review, 21, 149-170.
    • (1980) International Economic Review , vol.21 , pp. 149-170
    • White, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.