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Volumn 51, Issue 4, 1997, Pages 338-343

Linear transformations of linear mixed-effects models

Author keywords

Hierarchical linear models; Hierarchical ordering; Random coefficient models; Variable selection; Well formulated models

Indexed keywords


EID: 0031489758     PISSN: 00031305     EISSN: 15372731     Source Type: Journal    
DOI: 10.1080/00031305.1997.10474409     Document Type: Article
Times cited : (102)

References (14)
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  • 4
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    • Unbalanced Repeated-Measures Models with Structured Covariance Matrices
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    • Jennrich, R.I.1    Schluchter, M.D.2
  • 5
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    • Random-Effects Models for Longitudinal Data
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    • Laird, N.M.1    Ware, J.H.2
  • 6
    • 80051593425 scopus 로고
    • Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm
    • Laird, N., Lange, N., and Stram, D. (1987), “Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm,” Journal of the American Statistical Association, 82, 97-105.
    • (1987) Journal of the American Statistical Association , vol.82 , pp. 97-105
    • Laird, N.1    Lange, N.2    Stram, D.3
  • 7
    • 0000374707 scopus 로고
    • The Effect of Covariance Structure on Variance Estimation in Balanced Growth-Curve Models with Random Parameters
    • Lange, N., and Laird, N. M. (1989), “The Effect of Covariance Structure on Variance Estimation in Balanced Growth-Curve Models with Random Parameters,” Journal of the American Statistical Association, 84, 241-247.
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    • Lange, N.1    Laird, N.M.2
  • 8
    • 84950419603 scopus 로고
    • Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
    • Lindstrom, M. J., and Bates, D. M. (1988), “Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data,” Journal of the American Statistical Association, 83, 1014-1022.
    • (1988) Journal of the American Statistical Association , vol.83 , pp. 1014-1022
    • Lindstrom, M.J.1    Bates, D.M.2
  • 10
    • 0038136330 scopus 로고
    • Hierarchical Variable Selection in Polynomial Regression Models
    • Peixoto, J. L. (1987), “Hierarchical Variable Selection in Polynomial Regression Models,” The American Statistician, 41, 311-313.
    • (1987) The American Statistician , vol.41 , pp. 311-313
    • Peixoto, J.L.1
  • 11
    • 34250890601 scopus 로고
    • A Property of Well-Formulated Polynomial Regression Models
    • Peixoto, J. L. (1990), “A Property of Well-Formulated Polynomial Regression Models,” The American Statistician, 44, 26-30.
    • (1990) The American Statistician , vol.44 , pp. 26-30
    • Peixoto, J.L.1
  • 12
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    • Correction to A Property of Well-Formulated Polynomial Regression Models
    • Peixoto, J. L. (1991), “Correction to A Property of Well-Formulated Polynomial Regression Models,’” The American Statistician, 45, 82.
    • (1991) The American Statistician , vol.45 , pp. 82
    • Peixoto, J.L.1
  • 13
    • 84907319426 scopus 로고
    • Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions
    • Self, S.G., and Liang, K.Y. (1987), “Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions,” Journal of the American Statistical Association, 82, 605-610.
    • (1987) Journal of the American Statistical Association , vol.82 , pp. 605-610
    • Self, S.G.1    Liang, K.Y.2
  • 14
    • 0028641810 scopus 로고
    • Variance Component Testing in the Longitudinal Mixed Effects Model
    • Stram, D. O., and Lee, J. W. (1994), “Variance Component Testing in the Longitudinal Mixed Effects Model,” Biometrics, 50, 1171-1177.
    • (1994) Biometrics , vol.50 , pp. 1171-1177
    • Stram, D.O.1    Lee, J.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.