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Volumn 47, Issue 2, 2011, Pages 1154-1165

New AIC corrected variants for multivariate linear regression model selection

Author keywords

[No Author keywords available]

Indexed keywords

AKAIKE INFORMATION CRITERION; ASYMPTOTIC APPROXIMATION; EFFECTIVE TOOL; KULLBACK-LEIBLER INFORMATION; MODEL CHOICE; MODEL SELECTION CRITERIA; MULTIVARIATE LINEAR REGRESSION MODEL; MULTIVARIATE REGRESSION MODELS; SIMULATION RESULT; SMALL SAMPLE CASE; SMALL SAMPLE SIZE; SMALL SAMPLES;

EID: 79955394097     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/TAES.2011.5751249     Document Type: Article
Times cited : (20)

References (30)
  • 2
    • 77957025231 scopus 로고
    • Reduction and identification of multivariate processes using regression analysis
    • Graupe, D., Swanick, B., and Gassir, G. Reduction and identification of multivariate processes using regression analysis. IEEE Transactions on Automatic Control, AC-13 (1968), 564-567.
    • (1968) IEEE Transactions on Automatic Control , vol.AC-13 , pp. 564-567
    • Graupe, D.1    Swanick, B.2    Gassir, G.3
  • 4
    • 36849070866 scopus 로고    scopus 로고
    • DOA estimation for coherent sources in unknown nonuniform noise fields
    • DOI 10.1109/TAES.2007.4383611
    • Qi, C., Chen, Z., Wang, Y., and Zhang, Y. DOA estimation for coherent sources in unknown nonuniform noise fields. IEEE Transactions on Aerospace and Electronic Systems, 42 (2007), 1195-1204. (Pubitemid 350218362)
    • (2007) IEEE Transactions on Aerospace and Electronic Systems , vol.43 , Issue.3 , pp. 1195-1204
    • Qi, C.1    Chen, Z.2    Wang, Y.3    Zhang, Y.4
  • 5
    • 0028355223 scopus 로고
    • Model selection for multivariate regression in small samples
    • Bedrick, E. J. and Tsai, C. Model selection for multivariate regression in small samples. Biometrics, 50 (1994), 226-231. (Pubitemid 24138590)
    • (1994) Biometrics , vol.50 , Issue.1 , pp. 226-231
    • Bedrick, E.J.1    Tsai, C.-L.2
  • 7
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. A new look at the statistical model identification. IEEE Transactions on Automatic and Control, AC-19 (1974), 716-723.
    • (1974) IEEE Transactions on Automatic and Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 8
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwartz, G. Estimating the dimension of a model. Annals of Statistics, 6 (1978), 461-464.
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwartz, G.1
  • 9
    • 0002030625 scopus 로고
    • Time series analysis and control through parametric models
    • D. F. Findley (Ed.), New York: Academic Press
    • Akaike, H. Time series analysis and control through parametric models. In D. F. Findley (Ed.), Applied Time Series Analysis, New York: Academic Press, 1978, 1-23.
    • (1978) Applied Time Series Analysis , pp. 1-23
    • Akaike, H.1
  • 10
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, J. Modeling by shortest data description. Automatica, 14 (1978), 465-471.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 11
    • 18844432151 scopus 로고    scopus 로고
    • Exponentially embedded families - New approaches to model order estimation
    • DOI 10.1109/TAES.2005.1413765
    • Kay, S. Exponentially embedded families-New approaches to model order estimation. IEEE Transactions on Aerospace and Electronic Systems, 41 (2005), 333-345. (Pubitemid 40679237)
    • (2005) IEEE Transactions on Aerospace and Electronic Systems , vol.41 , Issue.1 , pp. 333-345
    • Kay, S.1
  • 13
    • 33846036765 scopus 로고    scopus 로고
    • The AIC criterion and symmetrizing the Kullback-Leibler divergence
    • Seghouane, A. K. and Amari, S. I. The AIC criterion and symmetrizing the Kullback-Leibler divergence. IEEE Transactions on Neural Networks, 18 (2007), 97-106.
    • (2007) IEEE Transactions on Neural Networks , vol.18 , pp. 97-106
    • Seghouane, A.K.1    Amari, S.I.2
  • 14
    • 70349119250 scopus 로고
    • Regression and time series model selection in small samples
    • Hurvich, C. M. and Tsai, C. L. Regression and time series model selection in small samples. Biometrika, 76 (1989), 297-307.
    • (1989) Biometrika , vol.76 , pp. 297-307
    • Hurvich, C.M.1    Tsai, C.L.2
  • 15
    • 84950461478 scopus 로고
    • Estimating the error rate of a prediction rule: Improvement on cross-validation
    • Efron, B. Estimating the error rate of a prediction rule: Improvement on cross-validation. Journal of the American Statistical Association, 78 (1983), 316-331.
    • (1983) Journal of the American Statistical Association , vol.78 , pp. 316-331
    • Efron, B.1
  • 16
    • 80053264999 scopus 로고
    • How biased is the apparent error rate of a prediction rule?
    • Efron, B. How biased is the apparent error rate of a prediction rule? Journal of the American Statistical Association, 81 (1986), 461-470.
    • (1986) Journal of the American Statistical Association , vol.81 , pp. 461-470
    • Efron, B.1
  • 17
    • 0001801337 scopus 로고
    • Statistical aspects of model selection
    • J. C. Willems (Ed.), New York: Springer
    • Shibata, R. Statistical aspects of model selection. In J. C. Willems (Ed.), From Data to Model, New York: Springer, 1989, 215-240.
    • (1989) From Data to Model , pp. 215-240
    • Shibata, R.1
  • 21
    • 0343537952 scopus 로고
    • Application of an estimator-free information criterion (WIC) to aperture synthesis
    • T. J. Cornwell and R. A. Perley (Eds.), Astronomical Society of the Pacific, San Francisco
    • Ishiguro, M. and Morita, K. Application of an estimator-free information criterion (WIC) to aperture synthesis. In T. J. Cornwell and R. A. Perley (Eds.), Radio Interferometry: Theory, Techniques and Application, Astronomical Society of the Pacific, San Francisco, 1991.
    • (1991) Radio Interferometry: Theory, Techniques and Application
    • Ishiguro, M.1    Morita, K.2
  • 22
    • 0011520418 scopus 로고
    • Bootstraping state-space models: Gaussian maximum likelihood estimation and the Kalman filter
    • Stoffer, D. S. and Wall, K. D. Bootstraping state-space models: Gaussian maximum likelihood estimation and the Kalman filter. Journal of the American Statistical Association, 86 (1991), 1024-1033.
    • (1991) Journal of the American Statistical Association , vol.86 , pp. 1024-1033
    • Stoffer, D.S.1    Wall, K.D.2
  • 23
    • 0031478161 scopus 로고    scopus 로고
    • A bootstrap variant of AIC for state space model selection
    • Cavanaugh, J. E. and Shumway, R. H. A bootstrap variant of AIC for state space model selection. Statistica Sinica, 7 (1997), 473-496.
    • (1997) Statistica Sinica , vol.7 , pp. 473-496
    • Cavanaugh, J.E.1    Shumway, R.H.2
  • 24
    • 0031480481 scopus 로고    scopus 로고
    • Bootstrap estimate of Kullback-Leibler information for model selection
    • Shibata, R. Bootstrap estimate of Kullback-Leibler information for model selection. Statistica Sinica, 7 (1997), 375-394.
    • (1997) Statistica Sinica , vol.7 , pp. 375-394
    • Shibata, R.1
  • 26
    • 0001314395 scopus 로고
    • Asymptotically efficient selection of the order of the model for estimating parameters of a linear process
    • Shibata, R. Asymptotically efficient selection of the order of the model for estimating parameters of a linear process. Annals of Statistics, 80 (1980).
    • (1980) Annals of Statistics , vol.80
    • Shibata, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.