Nonparametric estimation for some nonlinear models

Statistics and Probability Letters

Volumn 28, Issue 3, 1996, Pages 227-233

  Thavaneswaran, A ^b   Peiris, Shelton ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

^b NONE

Author keywords

Autoregressive; Estimating function; Estimation; Kernel; Nonlinear; Nonparametric; Random coefficient

Indexed keywords

EID: 16144366357     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-7152(95)00128-X     Document Type: Article

References (9)

1. Godambe, V.P. (1960), An optimum property of regular maximum likelihood equations, Ann. Math. Statist. 31, 1208-1211.
2. Godambe, V.P. (1985), The foundations of finite sample estimation in stochastic processes, Biometrika 72, 419-428.
3. Lindsay, B.G. (1985), Using empirical partially Bayes inference for increased efficiency, Ann. Statist. 13(3), 914-931.
4. Nicholls, D.F. and B.G. Quinn (1980), The estimation of autoregressive models with random coefficients 1, J. Time Ser. Anal. 1, 37-46.
5. Shiryayev, A.N. (1984), Probability (Springer, New York).
6. Staniswalis, J.G. (1989), The kernel estimate of a regression function in likelihood-based models, J. Amer. Statist. Assoc. 84, 276-283.
7. Thavaneswaran, A. and B. Abraham (1988), Estimation for nonlinear time series models using estimating equations, J. Time Ser. Anal. 9, 99-108.
8. Thavaneswaran, A. and J. Singh (1993), A note on smoothed estimating functions, Ann. Inst. Statist. Math. 45, 721-729.
9. Tjoøstheim, D. (1986), Estimation in nonlinear time series models, Stochastic Process and Appl. 21, 251-273.