DOI QR코드

DOI QR Code

ON A FUNCTIONAL CENTRAL LIMIT THEOREM FOR STATIONARY LINEAR PROCESSES GENERATED BY ASSOCIATED PROCESSES

  • Kim, Tae-Sung (Division of Mathematics and Informational Statistics and Institute of Basic Natural Science, Wonkwang University) ;
  • Ko, Mi-Hwa (Division of Mathematics and Informational Statistics and Institute of Basic Natural Science, Wonkwang University)
  • Published : 2003.11.01

Abstract

A functional central limit theorem is obtained for a stationary linear process of the form $X_{t}=\;{\Sigma_{j=0}}^{\infty}a_{j}{\epsilon}_{t-j}, where {${\in}_{t}$}is a strictly stationary associated sequence of random variables with $E_{{\in}_t}{\;}={\;}0.{\;}E({\in}_t^2){\;}<{\;}{\infty}{\;}and{\;}{a_j}$ is a sequence of real numbers with (equation omitted). A central limit theorem for a stationary linear process generated by stationary associated processes is also discussed.

Keywords

References

  1. Convergence of probability measures P.Billingsley
  2. Ann. Math. Statist. v.38 Association of random variables with applications J.Esary;F.Proschan;D.Walkup https://doi.org/10.1214/aoms/1177698701
  3. Statist. Probab. Lett. v.17 A central limit theorem with random indices for stationary linear processes I.Fakhre-Zakeri;J.Farshidi https://doi.org/10.1016/0167-7152(93)90002-Z
  4. Sequential Anal. v.11 Sequential estimation of the mean of a linear process I. Fakhre-Zakeri;S.Lee https://doi.org/10.1080/07474949208836252
  5. Statist. Probab. Lett. v.35 A random functional central limit theorem for stationary linear processes generated by matingales I.Fakhre-Zakeri;S.Lee https://doi.org/10.1016/S0167-7152(97)00040-0
  6. Multivariate time series E.J.Hannan
  7. Ann. Math. Statist. v.37 Some concepts of dependence E.L.Lehmann https://doi.org/10.1214/aoms/1177699260
  8. Comm. Math. Phys. v.74 Normal fluctuations and the FKG inequalities C.M.Newman https://doi.org/10.1007/BF01197754
  9. Inequalities in statistics and probability (IMS Lecture Notes-Monograph Series) v.5 Asymptotic independence and limit theorems for positively and negatively dependent random variables C.M.Newman;Y.L.Tong(ed.)
  10. Ann. Probab. v.9 An invariance principle for certain dependent sequences C.M.Newman;A.L.Wright https://doi.org/10.1214/aop/1176994374

Cited by

  1. A central limit theorem for the linear process generated by associated random variables in a Hilbert space vol.78, pp.14, 2008, https://doi.org/10.1016/j.spl.2008.01.079