[1] Akaike, H., (1973). Information theory and an extension of the maximum likelihood principle. In Second International Symposium on Information Theory, AkademiaiKiado, Budapest, 267-281.
[2] Akkaya, A., Tiku, M. (2007). Estimating Parameters Autoregressive Models in Nonnormal Situation: Asymmetric Innovations. Communications in Statistics: Theory and Methods, 30, 517-536.
[3] Bedrick, Edward J. and Tsai, C-L. (1994). Model Selection for Multivariate Regression in Small Samples. Biometrics, 50, 226-231
[4] Claeskens, G, Croux, C., and Kerckhoven, J.V. (2007). Prediction Focussed Model Selectionfor Autoregressive Models. Australian New Zealand Journal of Statistics, 49, 359-379.
[5] Durbin, J. (1960). Estimation of parameters in time-series regression models. Journal of the Royal Statistical Society, 22, 139-153.
[6] HARVEY, AC, and PHILLIPS, G.D.A. (1979). Maximum Likelihood
Estimation of Regression Models With Autoregressive-Moving Average Disturbances, Biometrika, 66, 49-58.
[7] Kullback, SaL, R.A. (1951). Information and Sufficiency Modelling. Annals of Mathematical Statistic, 22, 79-86.
[8] Mao, G. (2013). Model selection for regression with heteroskedastic and autocorrelated errors. Economics Letters, 497–501.
[9] McQuarrie, A.D.R, Tsai, C-L. (1988). Regression and Time Series Model Selection. World Scientific, 480pp.
[10] PIERCE, DA. (1971). Least Squares Estimation in the Regression
Model With Autoregressive-Moving Average Errors. Biometrika, 58, 299-312.
[11] Schwarz, G. (1978). Estimating the Dimension of a Model. Annals of Statistics, 6, 461-464.
[12] Shi PaT, C,L. A. (2004). Joint Regression Variable and Autoregressive Order Selection Criterion. Journal of Time Series Analysis, 25(6), 923-941.
[13] Tsay, S. (2012). Regression Models with Time Series Errors. Journal of the
American Statistical Association, 79, 118-124.
[14] White, H. (1982). Maximum Likelihood Estimations of Misspecified Models. Econometrica, 50, 1-26.
[15] Zamani Mehreyan, S, and Sayyareh, A. (2015). Statistical Inference in Autoregressive Models with Non-negative Residuals. Statistical Research and Training Center, 12(1), 83–104.
[16] Zamani Mehreyan, S, and Sayyareh, A. (2016). Separated hypotheses testing for autoregressive models with non-negative residuals. Journal of Statistical Computation and Simulation, DOI: 10.1080/00949655.2016-.1222613.
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