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https://scholarbank.nus.edu.sg/handle/10635/105123
Title: | Estimating parameters in autoregressive models in non-normal situations: Symmetric innovations | Authors: | Tiku, M.L. Wong, W.-K. Bian, G. |
Keywords: | Autoregression Least squares Maximum likelihood Modified maximum likelihood Nonnormality Robustness Student's t. |
Issue Date: | 1999 | Citation: | Tiku, M.L.,Wong, W.-K.,Bian, G. (1999). Estimating parameters in autoregressive models in non-normal situations: Symmetric innovations. Communications in Statistics - Theory and Methods 28 (2) : 315-341. ScholarBank@NUS Repository. | Abstract: | The estimation of coefficients in a simple regression model with autocorrelated errors is considered. The underlying distribution is assumed to be symmetric, one of Student's t family for illustration. Closed form estimators are obtained and shown to be remarkably efficient and robust. Skew distributions will be considered in a future paper. Copyright © 1999 by Marcel Dekker, Inc. | Source Title: | Communications in Statistics - Theory and Methods | URI: | http://scholarbank.nus.edu.sg/handle/10635/105123 | ISSN: | 03610926 |
Appears in Collections: | Staff Publications |
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