본문 바로가기
KERD
논문KCI 등재

The Central Limit Theorems for the Multivariate Linear Processes Generated by Negatively Associated Random Vectors

2

조회

0

다운로드

0

인용

0

참고문헌

주제분류수학

초록

Abstract

Let fXtg be an m-dimensional linear process of the form Xt = 1Xj=0 AjZt¡j ; where fZtg is a sequence of stationary m-dimensional negatively associated random vectors with EZt = O and EjjZtjj2 < 1. In this paper we prove the central limit theorems for multivariate linear processes generated by negatively associated random vectors.

참고문헌 (10)

  1. "Convergence of probability measures", pp.~1718 (1968), Inc
  2. "On the convergence rate in the central limit theorem for associated processes" (1988)
  3. "SpringerSeries in Statistics" (1991), Springer-Verlag
  4. "A central limit theorem with random indices for sta-tionary linear processes" (1993)
  5. "On functional limit theorems for multivariate linear processeswith applications to sequential estimation", 83(1), pp.11~23 (2000)
  6. "Negative association of random variables" (1983)
  7. "A note on the almost sure convergence of sums of negatively dependentrandom variables" (1992)
  8. "Asymptotic independence and limit theorems for positively and nega-tively dependent random variables Inequalities in statistics andprobability 60072THE CENTRAL LIMIT THEOREMS FOR THE MULTIVARIATE LINEAR PROCESSES 147" (1984)
  9. "A comparison theorem on moment inequalities between negatively associ-ated and independent random variables", 13(2), pp.343~356 (2000)
  10. "A functional central limit theorem for asymptotically negatively depen-dent random elds", 86(3), pp.237~259 (2000), WonKwang University Seoul National Univer-sity WonKwang University

관련 논문AI추천

이 간행물의 다른 논문 (7건)