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在“
自然资源管理
”中,
命中:
3
条,耗时:小于0.01 秒
1.
Multilevel Monte Carlo methods for computing failure probability of porous media flow systems
作者:
F. Fagerlunda
;
fritjof.fagerlund@geo.uu.se" class="auth_mail" title="E-mail the corresponding author
;
F. Hellman
;
b
;
fredrik.hellman@it.uu.se" class="auth_mail" title="E-mail the corresponding author
;
A. Må
;
lqvistc
;
axel@chalmers.se" class="auth_mail" title="E-mail the corresponding author
;
A. Niemia
;
auli.niemi@geo.uu.se" class="auth_mail" title="E-mail the corresponding author
关键词:
CDF
estimation
;
Failure probability
;
Porous media flow simulation
;
Multilevel Monte Carlo
;
Selective refinement
刊名:Advances in Water Resources
年:2016
2.
Review on probabilistic forecasting of wind power generation
作者:
Yao Zhang zy.3110161019@stu.xjtu.edu.cn" class="auth_mail
;
Jianxue Wang
;
jxwang@mail.xjtu.edu.cn" class="auth_mail
;
Xifan Wang xfwang@mail.xjtu.edu.cn" class="auth_mail
关键词:
WPF
;
Wind Power Forecasting
;
PDF
;
Probability Density Function
;
CDF
;
Cumulative Distribution Function
;
QR
;
Quantile Regression
;
KDE
;
Kernel Density
Estimation
;
ISO
;
Independent System Operator
;
RS-AR
;
Regime-Switching Autoregression
;
MS-AR
;
Markov-Chain Regime-Switching Autoregression
;
AR-GARCH
;
Autoregression-Generalized Autoregressive with Conditional Heteroscedasticity
;
CPAR
;
Conditional Parametric Autoregression
;
LQR
;
Local Quantile Regression
;
SQR
;
Spline Quantile Regression
;
QRF
;
Quantile
刊名:Renewable and Sustainable Energy Reviews
年:April, 2014
3.
Enhancing PTFs with remotely sensed data for multi-scale soil water retention
estimation
作者:
Raghavendra B. Jana
;
a
;
raghujana@tamu.edu
;
Binayak P. Mohantya
关键词:
Bayesian Neural Networks
;
Multiscale methods
;
Pedotransfer functions
;
Remote sensing
;
Data
;
Non-linear bias correction
刊名:Journal of Hydrology
年:2011
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