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Journal Articles
- 2015
[j14]Stan Lipovetsky, W. Michael Conklin:
MaxDiff Priority Estimations with and without HB-MNL. Adv. Data Sci. Adapt. Anal. 7(1-2): 1550002:1-1550002:10 (2015)- 2010
- [j13]Dimitri Liakhovitski, Yegor Bryukhov, W. Michael Conklin:
Relative importance of predictors: Comparison of Random Forests with Johnson's Relative Weights. Model. Assist. Stat. Appl. 5(4): 235-249 (2010) - [j12]Stan Lipovetsky, W. Michael Conklin:
Meaningful regression analysis in adjusted coefficients Shapley value model. Model. Assist. Stat. Appl. 5(4): 251-264 (2010) - 2006
- [j11]Stan Lipovetsky, W. Michael Conklin:
Data aggregation and Simpson's paradox gauged by index numbers. Eur. J. Oper. Res. 172(1): 334-351 (2006) - 2005
- [j10]W. Michael Conklin, Stan Lipovetsky:
Marketing Decision Analysis By Turf And Shapley Value. Int. J. Inf. Technol. Decis. Mak. 4(1): 5-20 (2005) - [j9]Stan Lipovetsky, W. Michael Conklin:
Latent class regression model in IRLS approach. Math. Comput. Model. 42(3-4): 301-312 (2005) - [j8]Stan Lipovetsky, W. Michael Conklin:
Singular value decomposition in additive, multiplicative, and logistic forms. Pattern Recognit. 38(7): 1099-1110 (2005) - [j7]W. Michael Conklin:
Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing. Technometrics 47(1): 95 (2005) - 2004
- [j6]W. Michael Conklin, Ken Powaga, Stan Lipovetsky:
Customer satisfaction analysis: Identification of key drivers. Eur. J. Oper. Res. 154(3): 819-827 (2004) - [j5]Stan Lipovetsky, W. Michael Conklin:
Decision Making By Variable Contribution In Discriminant, Logit, And Regression Analyses. Int. J. Inf. Technol. Decis. Mak. 3(2): 265-279 (2004) - 2003
- [j4]W. Michael Conklin, Stan Lipovetsky:
Chaos: A Statistical Perspective. Technometrics 45(4): 371 (2003) - 2002
- [j3]Stan Lipovetsky, W. Michael Conklin:
Robust estimation of priorities in the AHP. Eur. J. Oper. Res. 137(1): 110-122 (2002) - 2001
- [j2]Stan Lipovetsky, W. Michael Conklin:
Multiobjective regression modifications for collinearity. Comput. Oper. Res. 28(13): 1333-1345 (2001) - [j1]W. Michael Conklin:
Monte Carlo Methods in Bayesian Computation. Technometrics 43(2): 240-241 (2001)
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