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Information Journal Paper

Title

ON L2 CONVERGENCE OF THE MAXIMUM WEIGHTED PAIRWISE LIKELIHOOD ESTIMATORS IN THE AR(1) MODELS

Pages

  239-241

Abstract

 Recently, the strong consistency and asymptotic distribution for the maximum consecutive PAIRWISE LIKELIHOOD estimators (MCPLE) have been established in the linear time series models. In this paper, the weak convergence of the maximum weighted PAIRWISE LIKELIHOOD estimator (MWPLE) of the parameters of the AR (1) models is established by using the concept of L2 convergence (convergence in mean square).

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  • Cite

    APA: Copy

    KAZEMI, M.R., & NEMATOLLAHI, A.R.. (2014). ON L2 CONVERGENCE OF THE MAXIMUM WEIGHTED PAIRWISE LIKELIHOOD ESTIMATORS IN THE AR(1) MODELS. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE, 38(A3), 239-241. SID. https://sid.ir/paper/628907/en

    Vancouver: Copy

    KAZEMI M.R., NEMATOLLAHI A.R.. ON L2 CONVERGENCE OF THE MAXIMUM WEIGHTED PAIRWISE LIKELIHOOD ESTIMATORS IN THE AR(1) MODELS. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE[Internet]. 2014;38(A3):239-241. Available from: https://sid.ir/paper/628907/en

    IEEE: Copy

    M.R. KAZEMI, and A.R. NEMATOLLAHI, “ON L2 CONVERGENCE OF THE MAXIMUM WEIGHTED PAIRWISE LIKELIHOOD ESTIMATORS IN THE AR(1) MODELS,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION A- SCIENCE, vol. 38, no. A3, pp. 239–241, 2014, [Online]. Available: https://sid.ir/paper/628907/en

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