메뉴 건너뛰기




Volumn 27, Issue 1, 2011, Pages 47-59

A semiparametric technique for the multi-response optimization problem

Author keywords

desirability function; model robust regression (MRR); Monte Carlo (MC); multi response optimization (MRO); response surface methodology (RSM)

Indexed keywords

COMMON PROBLEMS; DESIRABILITY FUNCTION; DESIRABILITY FUNCTION APPROACH; MISSPECIFICATION; MODEL COMPARISON; MODEL ESTIMATION; MONTE CARLO (MC); MULTI-RESPONSE OPTIMIZATION (MRO); MULTIRESPONSE OPTIMIZATION; NONPARAMETRIC METHODS; OPTIMAL SOLUTIONS; RESPONSE SURFACE METHODOLOGY; RESPONSE SURFACE METHODOLOGY (RSM); ROBUST REGRESSIONS; SEMIPARAMETRIC; SIMULATION STUDIES;

EID: 79551518922     PISSN: 07488017     EISSN: 10991638     Source Type: Journal    
DOI: 10.1002/qre.1106     Document Type: Article
Times cited : (40)

References (23)
  • 1
    • 1942468593 scopus 로고    scopus 로고
    • Response surface modeling and optimization in multiresponse experiments using seemingly unrelated regressions
    • Shah KH, Montgomery DC, Carlyle WM,. Response surface modeling and optimization in multiresponse experiments using seemingly unrelated regressions. Quality Engineering 2004; 16 (3): 387-397.
    • (2004) Quality Engineering , vol.16 , Issue.3 , pp. 387-397
    • Shah, K.H.1    Montgomery, D.C.2    Carlyle, W.M.3
  • 2
    • 2342446557 scopus 로고    scopus 로고
    • A Bayesian reliability approach to multiple response surface optimization
    • Peterson JJ,. A Bayesian reliability approach to multiple response surface optimization. Journal of Quality Technology 2004; 36: 139-153.
    • (2004) Journal of Quality Technology , vol.36 , pp. 139-153
    • Peterson, J.J.1
  • 3
    • 0032123893 scopus 로고    scopus 로고
    • Response surface for the mean and variance using a nonparametric approach
    • Vining GG, Bohn LL,. Response surface for the mean and variance using a nonparametric approach. Journal of Quality Technology 1998; 30: 282-291.
    • (1998) Journal of Quality Technology , vol.30 , pp. 282-291
    • Vining, G.G.1    Bohn, L.L.2
  • 4
    • 0010409429 scopus 로고    scopus 로고
    • Model robust regression: Combining parametric, nonparametric, and semiparametric methods
    • Mays JE, Birch JB, Starnes BA,. Model robust regression: Combining parametric, nonparametric, and semiparametric methods. Journal of Nonparametric Statistics 2001; 13: 245-277.
    • (2001) Journal of Nonparametric Statistics , vol.13 , pp. 245-277
    • Mays, J.E.1    Birch, J.B.2    Starnes, B.A.3
  • 6
    • 0000432952 scopus 로고
    • Simultaneous optimization of several response variables
    • Derringer GC, Suich R,. Simultaneous optimization of several response variables. Journal of Quality Technology 1980; 12: 214-219.
    • (1980) Journal of Quality Technology , vol.12 , pp. 214-219
    • Derringer, G.C.1    Suich, R.2
  • 7
    • 0019635705 scopus 로고
    • Simultaneous optimization of multiple responses represented by polynomial regression-functions
    • Khuri AI, Conlon M,. Simultaneous optimization of multiple responses represented by polynomial regression-functions. Technometrics 1981; 23: 363-375.
    • (1981) Technometrics , vol.23 , pp. 363-375
    • Khuri, A.I.1    Conlon, M.2
  • 8
    • 0032187643 scopus 로고    scopus 로고
    • A compromise approach to multi-response optimization
    • Vining GG,. A compromise approach to multi-response optimization. Journal of Quality Technology 1998; 30: 309-313.
    • (1998) Journal of Quality Technology , vol.30 , pp. 309-313
    • Vining, G.G.1
  • 11
    • 77950792243 scopus 로고    scopus 로고
    • PhD Dissertation. Department of Statistics, Virginia Polytechnic Institute & State University, Blacksburg, VA
    • Wan W,. Semi-parametric techniques for multi-response optimization. PhD Dissertation. Department of Statistics, Virginia Polytechnic Institute & State University, Blacksburg, VA, 2007.
    • (2007) Semi-parametric Techniques for Multi-response Optimization
    • Wan, W.1
  • 14
    • 0032794467 scopus 로고    scopus 로고
    • Response surface methodology-Current status and future directions
    • Myers RH,. Response surface methodology-Current status and future directions. Journal of Quality Technology 1999; 31 (1): 30-44.
    • (1999) Journal of Quality Technology , vol.31 , Issue.1 , pp. 30-44
    • Myers, R.H.1
  • 15
    • 22944461731 scopus 로고    scopus 로고
    • Some guidelines for using nonparametric methods for modeling data from response surface designs
    • Anderson-Cook CM, Prewitt K,. Some guidelines for using nonparametric methods for modeling data from response surface designs. Journal of Modern Applied Statistical Methods 2005; 4: 106-119.
    • (2005) Journal of Modern Applied Statistical Methods , vol.4 , pp. 106-119
    • Anderson-Cook, C.M.1    Prewitt, K.2
  • 18
    • 0012891890 scopus 로고    scopus 로고
    • Cambridge Series on Statistical and Probabilistic Mathematics. Cambridge University Press: Cambridge.
    • Ruppert DW, Wand MP, Carroll RJ,. Semiparametric Regression. Cambridge Series on Statistical and Probabilistic Mathematics. Cambridge University Press: Cambridge, 2003.
    • (2003) Semiparametric Regression
    • Ruppert, D.W.1    Wand, M.P.2    Carroll, R.J.3
  • 20
    • 0036736015 scopus 로고    scopus 로고
    • Smoothing for small samples with model misspecification: Nonparametric and semiparametric concerns
    • Mays JE, Birch JB,. Smoothing for small samples with model misspecification: Nonparametric and semiparametric concerns. Journal of Applied Statistics 2002; 29: 1023-1045.
    • (2002) Journal of Applied Statistics , vol.29 , pp. 1023-1045
    • Mays, J.E.1    Birch, J.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.