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Information Journal Paper

Title

ALMOST SURE CONVERGENCE RATES FOR THE ESTIMATION OF A COVARIANCE OPERATOR FOR NEGATIVELY ASSOCIATED SAMPLES

Pages

  53-67

Abstract

 Let {Xn, n³1} be a strictly stationary sequence of negatively associated random variables, with common continuous and bounded distribution function F. In this paper, we consider the estimation of the two-dimensional distribution function of (X1, Xk+1) based on histogram type estimators as well as the estimation of the covariance function of the limit EMPIRICAL PROCESS induced by the sequence {Xn, n³1}. Then, we derive uniform strong convergence rates for two-dimensional distribution function of (X1,Xk+1) without any condition on the covariance structure of the variables. Finally, assuming a convenient decrease rate of the covariance’s                                         Cov (X1,Xn+1), n³1we introduce uniform strong convergence rate for covariance function of the limit EMPIRICAL PROCESS.

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  • Cite

    APA: Copy

    JABARI, H., & AZARNOUSH, H.A.. (2006). ALMOST SURE CONVERGENCE RATES FOR THE ESTIMATION OF A COVARIANCE OPERATOR FOR NEGATIVELY ASSOCIATED SAMPLES. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 5(1-2), 53-67. SID. https://sid.ir/paper/567630/en

    Vancouver: Copy

    JABARI H., AZARNOUSH H.A.. ALMOST SURE CONVERGENCE RATES FOR THE ESTIMATION OF A COVARIANCE OPERATOR FOR NEGATIVELY ASSOCIATED SAMPLES. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)[Internet]. 2006;5(1-2):53-67. Available from: https://sid.ir/paper/567630/en

    IEEE: Copy

    H. JABARI, and H.A. AZARNOUSH, “ALMOST SURE CONVERGENCE RATES FOR THE ESTIMATION OF A COVARIANCE OPERATOR FOR NEGATIVELY ASSOCIATED SAMPLES,” JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), vol. 5, no. 1-2, pp. 53–67, 2006, [Online]. Available: https://sid.ir/paper/567630/en

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