[1]
E. L. Lehmann: Theory of Point Estimation, John Wiley & Sons, Inc. (1983).
Google Scholar
[2]
E. L. Lehmann: Elements of Large-Sample Theory, Springer Science+Business Media, Inc. (1999).
Google Scholar
[3]
R.B. D'Agostino, M. A. Stephens: Goodness-of-Fit Techniques, Marcel Dekker, New York, (1986).
Google Scholar
[4]
M. A. Arcones, Y. S. Wang: Some new tests for normality based on U-processes, Statistics and Probability Letters, 76, pp.69-82, (2006).
DOI: 10.1016/j.spl.2005.07.003
Google Scholar
[5]
Y. Su: Smooth test for elliptical symmetry, Proceedings of ICMLC2012 Conference, Xian, pp.1279-1284, July (2012).
Google Scholar
[6]
H. Gunes, D. C. Dietz, P.F. Auclair and H. Moore: Modified goodness-of-fit tests for the inverse Gaussian distribution, Computational statistics & data analysis, 24, pp.63-77, (1997).
DOI: 10.1016/s0167-9473(96)00056-4
Google Scholar
[7]
B. Falk, A. Roy: Forecasting using the trend model with autoregressive errors, International Journal of Forecasting, 21, pp.291-302, (2005).
DOI: 10.1016/j.ijforecast.2004.08.001
Google Scholar
[8]
C. Huber-Carol, N. Balakrishnan, M.S. Nikulin, M. Mesbah: Goodness-of-Fit Tests and Model Validity, Birkhäuser, Boston · Basel · Berlin, (2002).
DOI: 10.1007/978-1-4612-0103-8
Google Scholar
[9]
M. A. Stephens: EDF statistics for goodness-of-fit and some comparisons, J. Amer. Statist. Assoc., 69, pp.730-737, (1974).
DOI: 10.1080/01621459.1974.10480196
Google Scholar
[10]
B. Falk, A. Roy: Forecasting using the trend model with autoregressive errors, International Journal of Forecasting, 21, pp.291-302, (2005).
DOI: 10.1016/j.ijforecast.2004.08.001
Google Scholar