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Volumn 4, Issue 1, 2000, Pages 29-41

Bootstrapping to assess and improve atmospheric prediction models

Author keywords

Bootstrap; CART; Classification; Hurricanes; Instability; Supervised learning; Weather data

Indexed keywords


EID: 23044518917     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (23)
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    • Breiman, L.1
  • 2
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    • Arcing classifiers
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    • Breiman, L.1
  • 5
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    • Making sense of a forest of trees
    • Department of Statistics and Actuarial Science, University of Waterloo
    • Chipman, H. 1998. Making sense of a forest of trees, Technical report, Department of Statistics and Actuarial Science, University of Waterloo.
    • (1998) Technical Report
    • Chipman, H.1
  • 7
    • 0002344794 scopus 로고
    • Bootstrap methods: Another look at the jackknife
    • Efron, B. 1979. Bootstrap methods: Another look at the jackknife, Annals of Statistics, 7:1-26.
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    • Efron, B.1
  • 12
    • 21744462998 scopus 로고    scopus 로고
    • On bias, variance, 0-1 loss, and the curse of dimensionality
    • Friedman, J. 1997. On bias, variance, 0-1 loss, and the curse of dimensionality, Journal of Data Mining and Knowledge Discovery, 1:55-77.
    • (1997) Journal of Data Mining and Knowledge Discovery , vol.1 , pp. 55-77
    • Friedman, J.1
  • 13
    • 0027072715 scopus 로고
    • Predicting Atlantic seasonal hurricane activity 6-11 months in advance
    • Gray, W.M., Landsea, C.W., Mielke, P.W., and Berry, K.J. 1992. Predicting Atlantic seasonal hurricane activity 6-11 months in advance, Weather and Forecasting, 7:440-455.
    • (1992) Weather and Forecasting , vol.7 , pp. 440-455
    • Gray, W.M.1    Landsea, C.W.2    Mielke, P.W.3    Berry, K.J.4
  • 14
    • 84952153262 scopus 로고
    • Bootstrap technology and applications
    • Leger, C., Politis, D.N., and Romano, J.P. 1993. Bootstrap technology and applications, Technometrics, 34:378-398.
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    • Leger, C.1    Politis, D.N.2    Romano, J.P.3
  • 17
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    • The out of bootstrap method for model averaging and selection
    • Department of Statistics, University of Toronto
    • Rao, J.S. and Tibshirani, R. 1997. The out of bootstrap method for model averaging and selection, Technical report, Department of Statistics, University of Toronto.
    • (1997) Technical Report
    • Rao, J.S.1    Tibshirani, R.2
  • 21
    • 0003667773 scopus 로고    scopus 로고
    • Bias, variance and prediction error for classification rules
    • Department of Statistics, University of Toronto
    • Tibshirani, R. 1996. Bias, variance and prediction error for classification rules, Technical report, Department of Statistics, University of Toronto.
    • (1996) Technical Report
    • Tibshirani, R.1
  • 22
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    • A comparison of some error estimates for neural network models
    • Tibshirani, R. 1997. A comparison of some error estimates for neural network models, Neural Computation, 8:152-163.
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    • Tibshirani, R.1
  • 23
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    • Jackknife, bootstrap and other resampling plans in regression analysis
    • Wu, C.J.F. 1986. Jackknife, bootstrap and other resampling plans in regression analysis (with discussion), Annals of Statistics, 14:1261-1350.
    • (1986) Annals of Statistics , vol.14 , pp. 1261-1350
    • Wu, C.J.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.