Simplicity out of complexity in environmental modelling: Occam's razor revisited.
暂无分享,去创建一个
[1] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1972 .
[2] R. C. Spear,et al. The application of Kolmogorov–Rényi statistics to problems of parameter uncertainty in systems design† , 1970 .
[3] H. Oeschger,et al. A box diffusion model to study the carbon dioxide exchange in nature , 1975 .
[4] P. Young. Some observations on instrumental variable methods of time-series analysis , 1976 .
[5] Peter E. Wellstead,et al. An instrumental product moment test for model order estimation , 1978, Autom..
[6] P. Young,et al. Refined instrumental variable methods of recursive time-series analysis Part I. Single input, single output systems , 1979 .
[7] Anthony J. Jakeman,et al. An instrumental variable method for model order identification , 1980, Autom..
[8] Thomas Kailath,et al. Linear Systems , 1980 .
[9] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .
[10] G. Hornberger,et al. Approach to the preliminary analysis of environmental systems , 1981 .
[11] Peter C. Young,et al. Recursive Estimation and Time Series Analysis , 1984 .
[12] Peter C. Young,et al. The Instrumental Variable Method: A Practical Approach to Identification and System Parameter Estimation , 1985 .
[13] Peter C. Young,et al. Direct digital and adaptive control by input-output state variable feedback pole assignment , 1987 .
[14] Michael Zeitz,et al. Comments on ‘Comparative study of non-linear state-observation techniques’ , 1987 .
[15] G. Watson,et al. Computer simulation , 1988 .
[16] Peter C. Young,et al. Recursive Estimation, Forecasting, and Adaptive Control , 1989 .
[17] Karel J. Keesman,et al. Set Membership Approach to Identification and Prediction of Lake Eutrophication , 1990 .
[18] R. Oglesby,et al. Sensitivity of the equilibrium surface temperature of a GCM to systematic changes in atmospheric carbon dioxide , 1990 .
[19] P. Young,et al. Environmetric time-series analysis: modelling natural systems from experimental time-series data. , 1991, International journal of biological macromolecules.
[20] Peter C. Young,et al. True digital control: A unified design procedure for linear sampled data control systems , 1991 .
[21] Peter C. Young,et al. Identification, Estimation and Control of Continuous-Time Systems Described by Delta Operator Models , 1991 .
[22] Peter C. Young,et al. TDC: A Computer Aided Control System Design Package for True Digital Control , 1991 .
[23] Keith Beven,et al. The future of distributed models: model calibration and uncertainty prediction. , 1992 .
[24] T. Wigley,et al. Implications for climate and sea level of revised IPCC emissions scenarios , 1992, Nature.
[25] Peter C. Young,et al. Parallel Processes in Hydrology and Water Quality: A Unified Time‐Series Approach , 1992 .
[26] Keith Beven,et al. Prophecy, reality and uncertainty in distributed hydrological modelling , 1993 .
[27] P. Young,et al. Time variable and state dependent modelling of non-stationary and nonlinear time series , 1993 .
[28] R. Huggett,et al. Modelling the Human Impact on Nature: Systems Analysis of Environmental Problems , 1993 .
[29] Peter C. Young,et al. Data-based mechanistic modelling and the rainfall-flow non-linearity. , 1994 .
[30] Peter C. Young,et al. Modelling and PIP control of a glasshouse micro-climate , 1994 .