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Volumn 2007, Issue , 2007, Pages

An M-estimation-based procedure for determining the number of regression models in regression clustering

(3)  Rao, C R a   Wu, Y a   Shao, Q a  

a NONE

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EID: 38949111528     PISSN: 11739126     EISSN: 15327612     Source Type: Journal    
DOI: 10.1155/2007/37475     Document Type: Article
Times cited : (6)

References (13)
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    • (1996) Clustering and Classification , pp. 377-453
    • Bock, H.-H.1    Arabie, P.2    Hubert, L.J.3    De Soete, G.4
  • 2
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    • Estimating mixtures of normal distributions and switching regressions
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    • Quandt, R.E.1    Ramsey, J.B.2
  • 3
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    • A fast algorithm for clusterwise linear regression
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    • Späth, H.1
  • 4
    • 0001237218 scopus 로고
    • A maximum likelihood methodology for clusterwise linear regression
    • W. S. DeSarbo W. L. Cron A maximum likelihood methodology for clusterwise linear regression Journal of Classification 5 1988 2 249-282
    • (1988) Journal of Classification , vol.5 , Issue.2 , pp. 249-282
    • DeSarbo, W.S.1    Cron, W.L.2
  • 6
    • 24144475030 scopus 로고    scopus 로고
    • A consistent procedure for determining the number of clusters in regression clustering
    • Q. Shao Y. Wu A consistent procedure for determining the number of clusters in regression clustering Journal of Statistical Planning and Inference 135 2005 2 461-476
    • (2005) Journal of Statistical Planning and Inference , vol.135 , Issue.2 , pp. 461-476
    • Shao, Q.1    Wu, Y.2
  • 8
    • 0001033261 scopus 로고
    • Robust regression: Asymptotics, conjectures and Monte Carlo
    • P. J. Huber Robust regression: Asymptotics, conjectures and Monte Carlo The Annals of Statistics 1 1973 799-821
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    • Huber, P.J.1
  • 9
    • 0000512689 scopus 로고    scopus 로고
    • Generalised information criteria in model selection
    • S. Konishi G. Kitagawa Generalised information criteria in model selection Biometrika 83 1996 4 875-890
    • (1996) Biometrika , vol.83 , Issue.4 , pp. 875-890
    • Konishi, S.1    Kitagawa, G.2
  • 10
    • 21144460355 scopus 로고
    • Robust model selection and M-estimation
    • J. A. F. Machado Robust model selection and M -estimation Econometric Theory 9 1993 3 478-493
    • (1993) Econometric Theory , vol.9 , Issue.3 , pp. 478-493
    • Machado, J.A.F.1
  • 11
    • 0033423112 scopus 로고    scopus 로고
    • A strongly consistent information criterion for linear model selection based on M -estimation
    • Y. Wu M. M. Zen A strongly consistent information criterion for linear model selection based on M -estimation Probability Theory and Related Fields 113 1999 4 599-625
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    • Wu, Y.1    Zen, M.M.2
  • 12
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    • (1970) Convex Analysis
    • Rockafellar, R.T.1


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