A comparative study of the finite-sample performance of some portmanteau tests for randomness of a time series
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- Kwan, Andy C. C. & Sim, Ah-Boon, 1996. "Portmanteau tests of randomness and Jenkins' variance-stabilizing transformation," Economics Letters, Elsevier, vol. 50(1), pages 41-49, January.
- Dufour, Jean-Marie & Roy, Roch, 1985.
"Some robust exact results on sample autocorrelations and tests of randomness,"
Journal of Econometrics, Elsevier, vol. 29(3), pages 257-273, September.
- Dufour, J.M. & Roy, R., 1984. "Some Robust Exact Results on Sample Autocorrelations and Tests of Randomness," Cahiers de recherche 8412, Universite de Montreal, Departement de sciences economiques.
- Rothenberg, Thomas J. & Stock, James H., 1997. "Inference in a nearly integrated autoregressive model with nonnormal innovations," Journal of Econometrics, Elsevier, vol. 80(2), pages 269-286, October.
- Granger, Clive W. J., 1992. "Forecasting stock market prices: Lessons for forecasters," International Journal of Forecasting, Elsevier, vol. 8(1), pages 3-13, June.
- Benoit Mandelbrot, 1963. "New Methods in Statistical Economics," Journal of Political Economy, University of Chicago Press, vol. 71(5), pages 421-421.
- Pena D. & Rodriguez J., 2002.
"A Powerful Portmanteau Test of Lack of Fit for Time Series,"
Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 601-610, June.
- Rodríguez, Julio, 2000. "A powerful portmanteau test of lack of fit for time series," DES - Working Papers. Statistics and Econometrics. WS 10133, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Jeong, Jinook & Chung, Seoung, 2001. "Bootstrap tests for autocorrelation," Computational Statistics & Data Analysis, Elsevier, vol. 38(1), pages 49-69, November.
- Nelson, Harold Jr. & Granger, C. W. J., 1979. "Experience with using the Box-Cox transformation when forecasting economic time series," Journal of Econometrics, Elsevier, vol. 10(1), pages 57-69, April.
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- Duchesne, Pierre & Li, Linyuan & Vandermeerschen, Jill, 2010. "On testing for serial correlation of unknown form using wavelet thresholding," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2512-2531, November.
- Poulin, Jennifer & Duchesne, Pierre, 2008. "On the power transformation of kernel-based tests for serial correlation in vector time series: Some finite sample results and a comparison with the bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4432-4457, May.
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