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Peter C. Young
Peter C. Young
Professor in the Environmental Science Division at Lancaster University. Director of CRES and joint head of the Systems and Cont
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Recursive estimation and time-series analysis: an introduction
PC Young
Springer science & business media, 2012
2001*2012
Parameter estimation for continuous-time models—a survey
P Young
Automatica 17 (1), 23-39, 1981
7491981
Direct identification of continuous-time models from sampled data: Issues, basic solutions and relevance
H Garnier, L Wang, PC Young
Identification of continuous-time models from sampled data, 1-29, 2008
6892008
An instrumental variable method for real-time identification of a noisy process
PC Young
Automatica 6 (2), 271-287, 1970
5581970
Refined instrumental variable methods of recursive time-series analysis Part III. Extensions
P Young, A Jakeman
International Journal of Control 31 (4), 741-764, 1980
491*1980
Dynamic harmonic regression
PC Young, DJ Pedregal, W Tych
Journal of forecasting 18 (6), 369-394, 1999
4191999
Uncertainty, complexity and concepts of good science in climate change modelling: are GCMs the best tools?
S Shackley, P Young, S Parkinson, B Wynne
Climatic change 38, 159-205, 1998
3751998
Data-based mechanistic modelling of environmental, ecological, economic and engineering systems
P Young
Environmental Modelling & Software 13 (2), 105-122, 1998
3611998
Data‐based mechanistic modelling and the rainfall‐flow non‐linearity
PC Young, KJ Beven
Environmetrics 5 (3), 335-363, 1994
3551994
Alternative Recursive Approaches to Time-Series Analysis
P Young, P Young
Recursive Estimation and Time-Series Analysis: An Introduction, 205-230, 1984
3451984
Predicting daily flows in ungauged catchments: model regionalization from catchment descriptors at the Coweeta Hydrologic Laboratory, North Carolina
TS Kokkonen, AJ Jakeman, PC Young, HJ Koivusalo
Hydrological processes 17 (11), 2219-2238, 2003
3192003
Environmental time series analysis and forecasting with the Captain toolbox
CJ Taylor, DJ Pedregal, PC Young, W Tych
Environmental Modelling & Software 22 (6), 797-814, 2007
3182007
Simplicity out of complexity in environmental modelling: Occam's razor revisited
P Young, S Parkinson, M Lees
Journal of applied statistics 23 (2-3), 165-210, 1996
3181996
An approach to the linear multivariable servomechanism problem
PC Young, JC Willems
International journal of control 15 (5), 961-979, 1972
3181972
Longitudinal dispersion in natural streams
T Beer, PC Young
Journal of environmental engineering 109 (5), 1049-1067, 1983
3071983
Advances in real–time flood forecasting
PC Young
Philosophical Transactions of the Royal Society of London. Series A …, 2002
3032002
State dependent parameter metamodelling and sensitivity analysis
M Ratto, A Pagano, P Young
Computer Physics Communications 177 (11), 863-876, 2007
2492007
Top‐down and data‐based mechanistic modelling of rainfall–flow dynamics at the catchment scale
P Young
Hydrological processes 17 (11), 2195-2217, 2003
2472003
An instrumental variable method for model order identification
P Young, A Jakeman, R McMurtrie
Automatica 16 (3), 281-294, 1980
2401980
Stochastic, dynamic modelling and signal processing: time variable and state dependent parameter estimation
PC Young
Nonlinear and nonstationary signal processing, 74-114, 2000
2342000
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