Rating Scales as Predictors—The Old Question of Scale Level and Some Answers
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DOI: 10.1007/s11336-013-9343-3
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- Robert Tibshirani & Michael Saunders & Saharon Rosset & Ji Zhu & Keith Knight, 2005. "Sparsity and smoothness via the fused lasso," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(1), pages 91-108, February.
- Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521785167, January.
- Forrest Young & Jan Leeuw & Yoshio Takane, 1976. "Regression with qualitative and quantitative variables: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 41(4), pages 505-529, December.
- Jan Gertheiss & Gerhard Tutz, 2009. "Penalized Regression with Ordinal Predictors," International Statistical Review, International Statistical Institute, vol. 77(3), pages 345-365, December.
- Lukas Meier & Sara Van De Geer & Peter Bühlmann, 2008. "The group lasso for logistic regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 53-71, February.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, march.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, august.
- Simon N. Wood, 2011. "Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(1), pages 3-36, January.
- Marx, Brian D. & Eilers, Paul H. C., 1998. "Direct generalized additive modeling with penalized likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 28(2), pages 193-209, August.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, january.
- Jan Gertheiss & Sara Hogger & Cornelia Oberhauser & Gerhard Tutz, 2011. "Selection of ordinally scaled independent variables with applications to international classification of functioning core sets," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 60(3), pages 377-395, May.
- Howard D. Bondell & Brian J. Reich, 2009. "Simultaneous Factor Selection and Collapsing Levels in ANOVA," Biometrics, The International Biometric Society, vol. 65(1), pages 169-177, March.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, february.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, june.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, may.
- Rufibach, Kaspar, 2010. "An active set algorithm to estimate parameters in generalized linear models with ordered predictors," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1442-1456, June.
- Simon N. Wood, 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 673-686, January.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, july.
- Rousseeuw, Peter J. & Christmann, Andreas, 2003. "Robustness against separation and outliers in logistic regression," Computational Statistics & Data Analysis, Elsevier, vol. 43(3), pages 315-332, July.
- Ruppert,David & Wand,M. P. & Carroll,R. J., 2003. "Semiparametric Regression," Cambridge Books, Cambridge University Press, number 9780521780506, January.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, september.
- Fan J. & Li R., 2001. "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1348-1360, December.
- Ming Yuan & Yi Lin, 2006. "Model selection and estimation in regression with grouped variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(1), pages 49-67, February.
- M. P. Wand, 2003. "Smoothing and mixed models," Computational Statistics, Springer, vol. 18(2), pages 223-249, July.
- anonymous, 1986. "Economic notes," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 49, april.
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Keywords
generalized linear models; penalized likelihood; ordinal predictors; rating scales; smooth effects;All these keywords.
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