Bootstrap estimated uncertainty of the dominant Lyapunov exponent for Holarctic microtine rodents
暂无分享,去创建一个
[1] H. Tong. A Personal Overview Of Nonlinear Time-Series Analysis From A Chaos Perspective , 1995 .
[2] James Theiler,et al. Testing for nonlinearity in time series: the method of surrogate data , 1992 .
[3] D. Ruelle,et al. Ergodic theory of chaos and strange attractors , 1985 .
[4] N. Stenseth,et al. On the Evolution of Reproductive Rates in Microtine Rodents , 1985 .
[5] Ilkka Hanski,et al. Specialist predators, generalist predators, and the microtine rodent cycle. , 1991 .
[6] TheilerJames,et al. Testing for nonlinearity in time series , 1992 .
[7] D. Tjøstheim. Non-linear Time Series: A Selective Review* , 1994 .
[8] Kung-Sik Chan,et al. On Likelihood Ratio Tests for Threshold Autoregression , 1990 .
[9] H. Tong,et al. On prediction and chaos in stochastic systems , 1994, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.
[10] William Gurney,et al. Modelling fluctuating populations , 1982 .
[11] Erkki Korpimäki,et al. Population oscillations of boreal rodents: regulation by mustelid predators leads to chaos , 1993, Nature.
[12] Ulrich Parlitz,et al. Identification of True and Spurious Lyapunov Exponents from Time Series , 1992 .
[13] B. Efron. The jackknife, the bootstrap, and other resampling plans , 1987 .
[14] Andreas S. Weigend,et al. Time Series Prediction: Forecasting the Future and Understanding the Past , 1994 .
[15] George E. P. Box,et al. Empirical Model‐Building and Response Surfaces , 1988 .
[16] S. Ellner,et al. Chaos in Ecology: Is Mother Nature a Strange Attractor?* , 1993 .
[17] Qiwei Yao,et al. Quantifying the influence of initial values on nonlinear prediction , 1994 .
[18] Andreas S. Weigend,et al. The Future of Time Series: Learning and Understanding , 1993 .
[19] William A. Brock,et al. Diagnostic testing for Nonlinearity Chaos, and General Dependence in Time Series Data , 1991 .
[20] H. Schuster. Deterministic chaos: An introduction , 1984 .
[21] Nils Chr. Stenseth,et al. The biology of lemmings , 1993 .
[22] Peter Turchin,et al. Complex Dynamics in Ecological Time Series , 1992 .
[23] A. Gallant,et al. Finding Chaos in Noisy Systems , 1992 .
[24] A. Gallant,et al. Convergence rates and data requirements for Jacobian-based estimates of Lyapunov exponents from data , 1991 .
[25] P. Turchin. Chaos and stability in rodent population dynamics: evidence from non-linear time-series analysis , 1993 .
[26] H. B. Wilson,et al. Detecting chaos in a noisy time series , 1993, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[27] Kung-Sik Chan,et al. A Note on Noisy Chaos , 1994 .
[28] Timo Teräsvirta. Testing linearity and modelling nonlinear time series , 1994, Kybernetika.
[29] B. Efron,et al. The Jackknife: The Bootstrap and Other Resampling Plans. , 1983 .
[30] Ian P. Woiwod,et al. Using Response-Surface Methodology to Detect Chaos in Ecological Time Series , 1993 .
[31] T. Subba Rao,et al. Analysis of nonlinear time series (and chaos) by bispectral methods , 1991 .
[32] Stephen P. Ellner,et al. Detecting nonlinearity and chaos in epidemic data , 1993 .
[33] Ruey S. Tsay,et al. Model Checking Via Parametric Bootstraps in Time Series Analysis , 1992 .
[34] Dag Tjøstheim,et al. Nonparametric tests of linearity for time series , 1995 .
[35] Stephen P. Ellner,et al. Chaos in a Noisy World: New Methods and Evidence from Time-Series Analysis , 1995, The American Naturalist.