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В.Б. Горяинов, Е.Р. Горяинова

14

ISSN 1812-3368. Вестник МГТУ им. Н.Э. Баумана. Сер. Естественные науки. 2016. № 6

REFERENCES

[1] Schelter B., Winterhalder M., Timmer J

.

Handbook of time series analysis: recent

theoretical developments and applications. Weinheim, Wiley, 2006. 508 p.

[2] Montgomery D.C., Jennings C.L., Kulahci M. Introduction to time series analysis

and forecasting. Hoboken, Wiley, 2015. 655 p.

[3] Tsay R.S. Analysis of time series. Hoboken, Wiley, 2010. 667 p.

[4] Rao T.S., Rao S.S., Rao C.R. Handbook of statistics. Vol. 30. Time series analysis: methods

and applications. Amsterdam, Elsevier, 2012. 755 p.

[5] Wilson G.T., Reale M., Haywood J

.

Models for dependent time series. Boca Raton,

CRC Press, 2015. 334 p.

[6] Daraio C., Simar L

.

Advanced robust and nonparametric methods in efficiency analysis.

N.Y., Springer, 2007. 260 p.

[7] Huber P., Ronchetti E.M

.

Robust statistics. Hoboken, Wiley, 2009. 360 p.

[8] Hettmansperger T.P., McKean J.W

.

Robust nonparametric statistical methods. Boca Raton,

CRC Press, 2011. 535 p.

[9] Wilcox R.R. Introduction to robust estimation and hypothesis testing. Amsterdam,

Elsevier, 2012. 689 p.

[10] Andrews B

.

Rank-based estimation for autoregressive moving average time series models.

J. Time Ser. Anal

., 2008, vol. 29, no. 1, pp. 51–73.

[11] Goryainov V.B

.

Identification of a spatial autoregression by rank methods.

Automation

and Remote Control

, 2011, vol. 72, no. 5, pp. 975–988.

[12] Goryainov V.B

.

Least-modules estimates for spatial autoregression coefficients.

Journal

of Computer and Systems Sciences International

, 2011, vol. 50, no. 4, pp. 565–572.

[13] Goryainova E.R., Goryainov V.B. Sign tests in moving-average model.

Vestn. Mosk. Gos.

Tekh. Univ. im. N.E. Baumana, Estestv. Nauki

[Herald of the Bauman Moscow State Tech.

Univ., Nat. Sci.], 2008, no. 1, pp. 76–86 (in Russ.).

[14] Goryainov V.B., Goryainova E.R

.

Nonparametric identification of the spatial

autoregression model under a priori stochastic uncertainty.

Automation and Remote Control

,

2010, no. 2, pp. 198–208.

[15] Truquet L., Yao J. On the quasi-likelihood estimation for random coefficient

autoregressions.

Statistics

, 2012, vol. 46, no. 4, pp. 505–521.

[16] McLeod A.I. On the distribution and applications of residual autocorrelations in Box-

Jenkins models.

J. R. Statist. Soc. B

, 1978, vol. 40, pp. 296–302.

[17] Hallin M., Puri M.L

.

Optimal rank-based procedures for time series analysis: Testing

an ARMA model against other ARMA models.

The Annals of Statistics

, 1988, vol. 16,

pp. 402–432.

[18] Maronna R.A., Martin D., Yohai V

.

Robust statistics: Theory and methods. Chichester,

Wiley, 2006. 403 p.

[19] Bustos O., Fraiman R., Yohai V.J

.

Asymptotic behaviour of the estimates based on

residual autocovariances for ARMA models.

Lecture Notes in Statist

, 1984, vol. 26, pp. 26–49.

[20] Mukantseva L.A

.

Testing normality in one-dimensional and multi-dimensional linear

regression.

Theory of Probability and its Applications

, 1978, vol. 22, pp. 591–602.