2 Non-linear time series models and dynamical systems
作者： Tohru Ozaki
DOI: 10.1016/S0169-7161(85)05004-0
关键词:
摘要:
sci-hub.se 参考文章(22)
H. Akaike, On entropy maximization principle Applications of Statistics. pp. 27- 41 ,(1977)
Iosif Ilitch Gikhman, Introduction to the theory of random processes ,(1969)
H. Tong, K. S. Lim, Threshold Autoregression, Limit Cycles and Cyclical Data Journal of the Royal Statistical Society: Series B (Methodological). ,vol. 42, pp. 245- 268 ,(1980) , 10.1111/J.2517-6161.1980.TB01126.X
Peter Hagedorn, Non-linear oscillations ,(1981)
V. Haggan, S. M. Heravi, M. B. Priestley, A STUDY OF THE APPLICATION OF STATE‐DEPENDENT MODELS IN NON‐LINEAR TIME SERIES ANALYSIS Journal of Time Series Analysis. ,vol. 5, pp. 69- 102 ,(1984) , 10.1111/J.1467-9892.1984.TB00379.X
Richard L. Tweedie, Sufficient conditions for ergodicity and recurrence of Markov chains on a general state space Stochastic Processes and their Applications. ,vol. 3, pp. 385- 403 ,(1975) , 10.1016/0304-4149(75)90033-2
A. L. Hodgkin, A. F. Huxley, A quantitative description of membrane current and its application to conduction and excitation in nerve The Journal of Physiology. ,vol. 117, pp. 500- 544 ,(1952) , 10.1113/JPHYSIOL.1952.SP004764
Ronald K. Getoor, Robert M. Blumenthal, Markov Processes and Potential Theory ,(1967)
T. Ozaki, THE STATISTICAL ANALYSIS OF PERTURBED LIMIT CYCLE PROCESSES USING NONLINEAR TIME SERIES MODELS Journal of Time Series Analysis. ,vol. 3, pp. 29- 41 ,(1982) , 10.1111/J.1467-9892.1982.TB00328.X
M. B. Priestley, STATE-DEPENDENT MODELS: A GENERAL APPROACH TO NON-LINEAR TIME SERIES ANALYSIS Journal of Time Series Analysis. ,vol. 1, pp. 47- 71 ,(1980) , 10.1111/J.1467-9892.1980.TB00300.X