Estimators Based on Ranks for Arma Models

In this paper we introduce a new family of robust estimators for ARMA models. These estimators are defined by replacing the residual sample autocovariances in the least squares equations by autocovariances based on ranks. The asymptotic normality of the proposed estimators is provided. The efficienc...

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Autor principal: Ferretti, N.E
Otros Autores: Yohai, V.J
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 1991
Acceso en línea:Registro en Scopus
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100 1 |a Ferretti, N.E. 
245 1 0 |a Estimators Based on Ranks for Arma Models 
260 |c 1991 
506 |2 openaire  |e Política editorial 
504 |a Anderson, T.W., (1971) The Statistical Analysis of Times Series, , Wiley, New York 
504 |a Billingsley, P., (1968) Convergence of Probability Measures, , Wiley, New York 
504 |a Box, G.E.P., Jenkins, G.M., (1970) Time Series Analysis forecasting and control Holden-Day, , San Francisco 
504 |a Bustos, O.H., General M-estimates for contaminated p — th order autoregressive processes: consistency and asymptotic normality (1982) Z. Wahrsch. Verw. Gebeiete, 59, pp. 491-504 
504 |a Bustos, O., Fraiman, R., Yohai, V., Asymptotic behaviour of the estimates based on residual autocovariance for ARMA models (1984) Robust and Nonlinear Time Series, pp. 26-49. , J. Franke, W. Hārdle and D. Martin Springer-Verlag, New York 
504 |a Bustos, O., Yohai, V., Robust Estimates for ARMA models (1986) J. Amer. Statist. Assoc, 81, pp. 155-168 
504 |a Denby, L., Martin, R.D., Robust estimation of the first order autoregressive parameter (1979) J. Amer. Statist. Assoc, 74, pp. 140-147 
504 |a Hallin, M., Ingenbleek, J.-F., Puri, M.L., Linear serial rank tests for randomness against ARMA alternatives (1985) Ann. Statist, 13, pp. 1156-1181 
504 |a Hallin, M., Puri, M.L., Optimal rank-based procedures for time series analysis: Testing an ARMA model against other ARMA models (1988) Ann. Statist, 16, pp. 402-432 
504 |a Hajek, J., Sidák, Z., (1967) Theory of Rank Tests, , Academic Press, New York 
504 |a Koul, H., A weak convergence result useful in robust autoregression (1990) To appear in Journal of Statistical Planning and Linear Inference 
504 |a Krieger, H.A., A new look at Bergström’s Theorem on convergence in distribution variables (1984) Israel Journal of Mathematics, 47, pp. 32-64 
504 |a LeCam, L., Locally asymptotically normal families of distributions (1960) Univ. Calif. Publ. Statist, 3, pp. 37-98 
504 |a Martin, R.D., Robust estimation of autoregressive models (with discussion) (1980) Directions in Time Series, edited by Brillinger, , et al., Instit. of Math. Statistics Publications 
504 |a Martin, R.D., Robust methods in time series (1981) Applied Time Series II, , D. F. Findley, Academic Press, New York 
504 |a Martin, R.D., Yohai, V.J., Robustness in time series and estimating ARMA models (1985) Handbook of Statistics, 5, pp. 119-155. , E. J. Hannan, et al. Elsevier Science Publishers B. V 
504 |a Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T., Numerical Recipes: The Art of Scientific Computing (1986), Cambridge University Press; Puri, M.L., Sen, P.K., Nonparametric Methods on Multivariate Analysis (1971), Wiley, New York 
520 3 |a In this paper we introduce a new family of robust estimators for ARMA models. These estimators are defined by replacing the residual sample autocovariances in the least squares equations by autocovariances based on ranks. The asymptotic normality of the proposed estimators is provided. The efficiency and robustness properties of these estimators are studied. An adequate choice of the score functions gives estimators which have high efficiency under normality and robustness in the presence of outliers. The score functions can also be chosen so that the resulting estimators are asymptotically as efficient as the maximum likelihood estimators for a given distribution. © 1991, Taylor & Francis Group, LLC. All rights reserved.  |l eng 
593 |a Departamento de Matemática Facultad de Ciencias Exactas U.N.L.P, c.c. No.172 1900 La Plata, Argentina 
593 |a Departamento de Matemática Facultad de Ciencias Exactas U.B.A., Ciudad Universitaria Pabellón 1 1428 Buenos Aires, Argentina 
690 1 0 |a ARMA MODELS 
690 1 0 |a ASYMPTOTIC RELATIVE EFFICIENCY 
690 1 0 |a ESTIMATION BASED ON RANKS 
700 1 |a Yohai, V.J. 
773 0 |d 1991  |g v. 20  |h pp. 3879-3907  |k n. 12  |p Commun Stat Theory Methods  |x 03610926  |w (AR-BaUEN)CENRE-84  |t Communications in Statistics - Theory and Methods 
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856 4 0 |u https://doi.org/10.1080/03610929108830746  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_03610926_v20_n12_p3879_Ferretti  |y Handle 
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