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Generalized smoothed estimating functions for nonlinear time series

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  • Thavaneswaran, A.
  • Peiris, Shelton

Abstract

This note considers a new class of nonparametric estimators for nonlinear time-series models based on kernel smoothers. Various new results are given for two popular nonlinear time-series models and compared with the results of Thavaneswaran and Peiris (Statist. Probab. Lett. 28 (1996) 227).

Suggested Citation

  • Thavaneswaran, A. & Peiris, Shelton, 2003. "Generalized smoothed estimating functions for nonlinear time series," Statistics & Probability Letters, Elsevier, vol. 65(1), pages 51-56, October.
    • Handle: RePEc:eee:stapro:v:65:y:2003:i:1:p:51-56
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    References listed on IDEAS

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    1. Thavaneswaran, A. & Peiris, Shelton, 1996. "Nonparametric estimation for some nonlinear models," Statistics & Probability Letters, Elsevier, vol. 28(3), pages 227-233, July.
    2. A. Thavaneswaran & B. Abraham, 1988. "Estimation For Non‐Linear Time Series Models Using Estimating Equations," Journal of Time Series Analysis, Wiley Blackwell, vol. 9(1), pages 99-108, January.
    3. Tjøstheim, Dag, 1986. "Estimation in nonlinear time series models," Stochastic Processes and their Applications, Elsevier, vol. 21(2), pages 251-273, February.
    4. A. Thavaneswaran & Jagbir Singh, 1993. "A note on smoothed estimating functions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 45(4), pages 721-729, December.
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