Inference for linear and nonlinear stable error processes via estimating functions-Reference-Cited by-同舟云学术

Inference for linear and nonlinear stable error processes via estimating functions

Published:2013-04 Issue:4 Volume:143 Page:827-841
ISSN:0378-3758
Container-title:Journal of Statistical Planning and Inference
language:en
Short-container-title:Journal of Statistical Planning and Inference

Author:

Thavaneswaran A.,Ravishanker N.,Liang Y.

Publisher

Elsevier BV

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability

Reference30 articles.

1. Adler, R.J., Feldman, R., Taqqu, M.S. (Eds.), 1998. A User's Guide to Heavy Tails: Statistical Techniques for Analyzing Heavy Tailed Distributions and Processes. Birkhäuser, Boston.

2. Bera, A.K., Bilias, Y., Simlai, P., 2006. Estimating functions and equations: an essay on historical developments with applications to economics. In: Mills, T.C., Patterson, K. (Eds.), Palgrave Handbook of Econometrics, vol. I, pp. 427–476.

3. Time Series;Brockwell,2006

4. Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation;Engle;Econometrica,1982

5. The behavior of stock market prices;Fama;Journal of Business,1965

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