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Volumn 2189, Issue , 2001, Pages 370-377

Sampling of highly correlated data for polynomial regression and model discovery

Author keywords

Polynomial model discovery; Sampling from multivariate normal distribution; Tropical cyclone intensity forecasting modelling

Indexed keywords

COVARIANCE MATRIX; DATA HANDLING; HURRICANES; INFORMATION ANALYSIS; NORMAL DISTRIBUTION; POLYNOMIALS; RECOVERY; STORMS;

EID: 23044530718     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44816-0_37     Document Type: Conference Paper
Times cited : (5)

References (7)
  • 1
    • 34250108028 scopus 로고
    • Model selection and akaike’s information criterion (AIC): The general theory and its analytical extensions
    • H. Bozdogan. Model selection and akaike’s information criterion (AIC): the general theory and its analytical extensions. Psychometrika, 52(3):345–370, 1987.
    • (1987) Psychometrika , vol.52 , Issue.3 , pp. 345-370
    • Bozdogan, H.1
  • 2
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • J. Rissanen. Modeling by shortest data description. Automatica, 14:465–471, 1978.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 4
    • 84942778115 scopus 로고    scopus 로고
    • Minimum Message Length criterion for second-order polynomial model discovery
    • T. Terano, H. Liu, A.L.P. Chen, editor, Springer–Verlag, Berlin Heidelberg
    • G.W. Rumantir. Minimum Message Length criterion for second-order polynomial model discovery. In T. Terano, H. Liu, A.L.P. Chen, editor, Knowledge Discovery and Data Mining: Current Issues and New Applications, PAKDD 2000, LNAI 1805, pages 40–48. Springer–Verlag, Berlin Heidelberg, 2000.
    • (2000) Knowledge Discovery and Data Mining: Current Issues and New Applications, PAKDD 2000, LNAI 1805 , pp. 40-48
    • Rumantir, G.W.1
  • 5
    • 35248870207 scopus 로고    scopus 로고
    • Tropical cyclone intensity forecasting model: Balancing complexity and goodness of fit
    • R. Mizoguchi and J. Slaney, editor, Springer–Verlag, Berlin Heidelberg
    • G.W. Rumantir. Tropical cyclone intensity forecasting model: Balancing complexity and goodness of fit. In R. Mizoguchi and J. Slaney, editor, PRICAI 2000 Topics in Artificial Intelligence, LNAI 1886, pages 230–240. Springer–Verlag, Berlin Heidelberg, 2000.
    • (2000) PRICAI 2000 Topics in Artificial Intelligence, LNAI 1886 , pp. 230-240
    • Rumantir, G.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.