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Volumn 4, Issue 1, 2005, Pages 106-119

Some guidelines for using nonparametric methods for modeling data from response surface designs

Author keywords

Bandwidth; Data sparseness; Edge Corrections; Lowess; Nadaraya Watson

Indexed keywords


EID: 22944461731     PISSN: 15389472     EISSN: 15389472     Source Type: Journal    
DOI: 10.22237/jmasm/1114906320     Document Type: Article
Times cited : (14)

References (17)
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  • 7
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    • Gasser, T.1    Mueller, H.-G.2
  • 10
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    • Response surface methodology - Current status and future directions (pkg: P1-74)
    • Myers, R. H. (1999). Response surface methodology - Current status and future directions (pkg: P1-74). Journal of Quality Technology, 31, 30-44.
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    • Myers, R.H.1
  • 12
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    • Efficient bandwidth selection in non-parametric regression
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    • Prewitt, K.1
  • 14
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    • Multivariate locally weighted least squares regression
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    • Ruppert, D.1    Wand, M.P.2
  • 15
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    • Response surfaces for the mean and variance using a nonparametric approach
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    • Vining, G.G.1    Bohn, L.L.2
  • 17
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    • Smooth regression analysis
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    • Watson, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.