References
- Akaike, H. (1969). Fitting autoregressive models for prediction. Ann. Inst. Statist. Math. 21:243–247.
- Aladag, C. H., Egrioglu, E., Gunay, S., Basaran, M. A. (2010). Improving weighted information criterion by using optimization. Journal of Computational and Applied Mathematics 233:2683–2687.
- AL-Marshadi, A. H. (2014). Collaboration of statistical methods in selecting the correct multiple linear regressions. American Journal of Biostatistics 4:29–33.
- Amemiya, T. (1985). Advanced Econometrics. Cambridge: Harvard University Press.
- Amemiya, T. (1976). Estimation in Nonlinear Simultaneous Equation Models. Paper presented at Institut National de La Statistique et Des Etudes Ecnomiques, Paris,March 10 and published in Malinvaued, E. (ed.), Cahiers Du SeminarireD'econometrie, no 19.
- Arthur Goldberger. (1991). A Course in Econometrics. Cambrigde, Mass: Harvard University Press, p. 249.
- Burnham, K. P., Anderson, D. R. (2002). Model Selection and Multi-model Inference: A Practical Information-Theoretic Approach. Second Edition. New York, NY, USA: Springer-Verlag.
- Cohen, J., Cohen, P., West, S. G., Aiken, L. S. (2003). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. 3rd ed. Mahwah, NJ: Lawrence Erlbaum Associates.
- Egrioglu, E., Aladag, C. H., Gunay, S. (2008). A new model selection strategy in artificial neural networks. Applied Mathematics and Computation 195:591–597.
- Hocking, R. R. (1976). The analysis and selection of variables in linear regression. Biometrics 32:1–49.
- Jayakumar, D. S., Sulthan, A. (2014). Identification of multicollinearity and its effect in model selection. Electronic Journal of Applied Statistical Analysis 7(1):153–179.
- Judge, G. G., Griffiths, W. E., Hill, R. C., Lee, T. (1980). Theory and Practice of Econometrics. New York: Wiley.
- Kreft, I., de Leeuw, J. (1998). Introducing Multilevel Modeling. London: Sage.
- Neter, J., Kutner, M. H., Nachtsheim, C. J., Wasserman, W. (1996). Applied Linear Regression Model. (Third Edition). Chicago: Richard D. Irwin, Inc.
- Ragnar Frisch. (1934). Statistical Confluence Analysis by Means of Complete Regression Systems. Institute of Economics, Oslo University.
- SAS Institute Inc. (2008). SAS OnlineDoc 9.13. Cary, NC, USA :SAS Institute Inc.
- Sawa, T. (1978). Information criteria for discriminating among alternative regression models. Econometrica 46:1273–1291.
- Schwarz, G. (1978). Estimating the dimension of a model. Annals of Statistics 6:461–464.
- Zellner, A., Keuzenkamp, H. A., and McAleer, M. (editors) (2002). Simplicity, Inference and Modelling: Keeping It Sophisticatedly Simple. Cambridge, UK: Cambridge University Press.