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Volumn 27, Issue 1, 2000, Pages 109-112

Functional marginality and response-surface fitting

Author keywords

[No Author keywords available]

Indexed keywords


EID: 0001007995     PISSN: 02664763     EISSN: None     Source Type: Journal    
DOI: 10.1080/02664760021862     Document Type: Article
Times cited : (33)

References (6)
  • 1
    • 84874257732 scopus 로고
    • Better subset regression using the nonnegative garrote
    • BREIMAN, L. (1995) Better subset regression using the nonnegative garrote, Technometrics, 37, pp. 373-384.
    • (1995) Technometrics , vol.37 , pp. 373-384
    • Breiman, L.1
  • 2
    • 0031270538 scopus 로고    scopus 로고
    • A Bayesian variable-selection approach for analyzing designed experiments with complex aliasing
    • CHIPMAN, H., HAMADA, M. & WU, C. F. J. (1997) A Bayesian variable-selection approach for analyzing designed experiments with complex aliasing, Technometrics, 39, pp. 372-381.
    • (1997) Technometrics , vol.39 , pp. 372-381
    • Chipman, H.1    Hamada, M.2    Wu, C.F.J.3
  • 4
    • 0032345829 scopus 로고    scopus 로고
    • The selection of terms in response-surface models - How strong is the weak-heredity principle?
    • NELDER, J. A. (1998) The selection of terms in response-surface models - How strong is the weak-heredity principle?, American Statistician, 52, pp. 315-318.
    • (1998) American Statistician , vol.52 , pp. 315-318
    • Nelder, J.A.1
  • 5
    • 0038136330 scopus 로고
    • Hierarchical variable selection in polynomial regression models
    • PEIXOTO, J. L. (1987) Hierarchical variable selection in polynomial regression models, American Statistician, 41, pp. 311-313.
    • (1987) American Statistician , vol.41 , pp. 311-313
    • Peixoto, J.L.1
  • 6
    • 34250890601 scopus 로고
    • A property of well-formulated polynomial regression models
    • PEIXOTO, J. L. (1990) A property of well-formulated polynomial regression models, American Statistician, 44, pp. 26-30.
    • (1990) American Statistician , vol.44 , pp. 26-30
    • Peixoto, J.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.