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Nonlinear Statistical Models by A. Ronald Gallant John Wiley & Sons, 1986

Published online by Cambridge University Press:  18 October 2010

B.M. Pötscher
Affiliation:
University of Technology Vienna

Abstract

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Type
Book Review
Copyright
Copyright © Cambridge University Press 1988

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References

REFERENCES

1.Akaiké, H.Fitting autoregressive models for prediction. Annals of the institute of Statistical Mathematics 21 (1969): 243247.CrossRefGoogle Scholar
2.Bates, C. & White, H.. A unified theory of consistent estimation for parametric models. Econometric Theory 1 (1985): 151178.CrossRefGoogle Scholar
3.Bierens, H. J.Robust methods and asymptotic theory in nonlinear econometrics. Lecture Notes in Economics and Mathematical Systems, Vol. 92, Berlin: Springer-Verlag, 1981.Google Scholar
4.Bierens, H.J.Consistent model specification tests. Journal of Econometrics 20 (1982): 105134.Google Scholar
5.Bierens, H.J.Model specification testing of time series regression. Journal of Econometrics 26 (1984): 323353.Google Scholar
6.Burguete, J., Gallant, A.R., & Souza, G.. On unification of the asymptotic theory of nonlinear econometric models. Econometric Reviews 1 (1982): 151190.Google Scholar
7.Domowitz, I. & White, H.. Misspecified models with dependent observations. Journal of Econometrics 20 (1982): 3558.Google Scholar
8.Jennrich, R.I.Asymptotic properties of nonlinear least squares estimation. Annals of Mathematical Statistics 40 (1969): 633643.Google Scholar
9.Malinvaud, E.The consistency of nonlinear regressions. Annals of Mathematical Statistics 41 (1970): 956969.CrossRefGoogle Scholar
10.McLeish, D.L.A maximal inequality and dependent strong laws. Annals of Probability 3 (1975): 829839.CrossRefGoogle Scholar
11.McLeish, D.L.Invariance principles of dependent variables. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete 32 (1975): 165178.CrossRefGoogle Scholar
12.McLeish, D.L.On the invariance principle for nonstationary mixingales. Annals of Probability 5 (1977): 616621.CrossRefGoogle Scholar
13.Subba Rao, T. & Gabr, M.M.. An introduction to bispectral analysis and bilinear time series models. Lecture Notes in Statistics, Vol. 24, Berlin: Springer-Verlag, 1984.Google Scholar
14.Tong, H.Threshold models in nonlinear time series analysis. Lecture Notes in Statistics, Vol. 21, Berlin: Springer-Verlag, 1983.CrossRefGoogle Scholar
15.White, H.Maximum likelihood estimation of misspecified models. Econometrica 50 (1982): 125.Google Scholar
16.White, H. & Domowitz, I.. Nonlinear regression with dependent observations. Econometrica 52 (1984): 143–161.CrossRefGoogle Scholar