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A note on the initial identification of scalar component models

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Abstract

This paper solves an open theoretical question in the identification stage of Scalar Component Models, posed initially by Tiao and Tsay and noted by several researchers, specifically as it refers to the choice of a certain parameter present in the process and which they denote h. The theoretical concept of sure overall orders, instead of the so-called overall orders, is useful in addressing this issue. Using simple examples, we justify the need for our theoretical results. Moreover, we use a Ranks Table and its properties to complement the SCM identification stage with interesting theoretical information without adding significant calculations to the procedure initially proposed by Tiao and Tsay.

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References

  1. Athanasopoulos, G., Poskitt, D.S., Vahid, F.: Two Canonical VARMA Forms: Scalar Component Models Vis-à-Vis the Echelon Form. Monash Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics, No. 10/07 (2009)

  2. Athanasopoulos, G., Vahid, F.: A complete VARMA modelling methodology based on scalar components. J. Time Ser. Anal. 29(3), 533–554 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bultheel, A., van Barel, M.: Linear Algebra, Rational Approximation and Orthogonal Polynomials. Studies in Computational Mathematics, North Holland (1997)

    MATH  Google Scholar 

  4. Lütkepohl, H., Poskitt, D.S.: Specification of Echelon-Form VARMA models. J. Bus. Econ. Stat. 14(1), 69–79 (1996)

    Article  Google Scholar 

  5. Pestano-Gabino, C., González-Concepción, C.: Rationality, minimality and uniqueness of representation of matrix formal power series. J. Comput. Appl. Math. 94, 23–38 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  6. Pestano-Gabino, C., González-Concepción, C., Gil-Fariña, M.C.: Sure overall orders to identify scalar component models. WSEAS Trans. Math. 5(1), 97–102 (2006)

    Google Scholar 

  7. Reinsel, G.C.: Elements of Multivariate Time Series Analysis. Springer, New York (1997)

    Book  MATH  Google Scholar 

  8. Tiao, G.C., Tsay, R.S.: Model specification in multivariate time series. J. R. Stat. Soc. B 51(2), 157–213 (1989)

    MathSciNet  MATH  Google Scholar 

  9. Tsay, R.S.: Two canonical forms for Vector ARMA processes. Stat. Sin. 1, 247–269 (1991)

    MathSciNet  MATH  Google Scholar 

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Correspondence to Concepción González-Concepción.

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This is an improved version of An Algebraic Analysis using Matrix Padé Approximation to Improve the Choice of Certain Parameter in Scalar Component Models Working Paper 10-08, Statistics and Econometrics Series 03, 2010, Department of Statistics, University Carlos III of Madrid (Spain). Work partially funded by Ministerio de Educación y Ciencia (MTM2008-06671 and MTM2006-14961-C05-03).

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Pestano-Gabino, C., González-Concepción, C. & Gil-Fariña, M.C. A note on the initial identification of scalar component models. Numer Algor 58, 439–449 (2011). https://doi.org/10.1007/s11075-011-9462-9

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  • DOI: https://doi.org/10.1007/s11075-011-9462-9

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