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在“
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”中,
命中:
14,129
条,耗时:0.0819789 秒
在所有数据库中总计命中:
20,743
条
1.
Flexible integro-difference
equation
modeling for spatio-temporal data
作者:
Robert Richardson
a
;
richardson@stat.byu.edu
;
Athanasios Kottas
b
;
thanos@soe.ucsc.edu
;
Bruno Sansó
;
b
;
bruno@soe.ucsc.edu
关键词:
Bayesian environmetrics
;
Dynamic spatio-temporal models
;
Integro-difference
equation
;
Markov chain Monte Carlo
刊名:Computational Statistics & Data Analysis
出版年:2017
2.
Wealth and price distribution by diffusive approximation in a repeated
prediction
market
作者:
Giulio Bottazzi
;
g.bottazzi@sssup.it
;
Daniele Giachini
d.giachini@sssup.it
关键词:
Prediction
market
;
Repeated betting
;
Diffusive approximation
;
Fokker&ndash
;
Planck
equation
刊名:Physica A: Statistical Mechanics and its Applications
出版年:2017
3.
Measurement and
prediction
of liquid-liquid equilibria in ternary systems containing water, an organic component, and cyclohexanol
作者:
Mandy Klauck
;
klauck@htw-dresden.de
;
David Deska
;
Marie Priemer
;
Jü
;
rgen Schmelzer
;
Grit Kalies
关键词:
Liquid-liquid equilibrium
;
Ternary experimental data
;
Prediction
;
Equation
of state
;
Activity coefficient model
刊名:Fluid Phase Equilibria
出版年:2017
4.
Short-term traffic flow
prediction
using time-varying Vasicek model
作者:
Yalda Rajabzadeh
yalda_raj@aut.ac.ir
;
Amir Hossein Rezaie
;
rezaie@aut.ac.ir
;
Hamidreza Amindavar
hamidami@aut.ac.ir
关键词:
Traffic
prediction
;
Intelligent transportation systems (ITSs)
;
Stochastic differential
equation
;
Time-varying model
刊名:Transportation Research Part C: Emerging Technologies
出版年:2017
5.
The spinodal of single- and multi-component fluids and its role in the development of modern
equation
s of state
作者:
Peder Aursand
a
;
Magnus Aa. Gjennestad
a
;
Eskil Aursand
a
;
b
;
Morten Hammer
a
;
Ø
;
ivind Wilhelmsen
a
;
c
;
oivind.wilhelmsen@ntnu.no
关键词:
Thermodynamics
;
Equation
of state
;
Spinodal
;
Nucleation
;
Phase stability
;
Superheat limit
刊名:Fluid Phase Equilibria
出版年:2017
6.
Prediction
of vapor-liquid and liquid-liquid equilibria at high pressures of 2-alkoxyethanol mixtures using PC-SAFT EoS
作者:
Dong NguyenHuynh
a
;
dongnh@pvmtc.com.vn
;
Thi Thuy Nguyen
a
;
Thi Thanh Xuan Nguyen
b
关键词:
PC-SAFT
;
LLE
;
VLE
;
2-Methoxyethanol
;
Alkoxyethanol
;
Prediction
;
High pressure
刊名:Fluid Phase Equilibria
出版年:2017
7.
Prediction
of solid solute solubility in supercritical carbon dioxide with organic cosolvents from the PR+COSMOSAC
equation
of state
作者:
Yi-Shiu Ting
;
Chieh-Ming Hsieh
;
hsiehcm@ncu.edu.tw" class="auth_mail" title="E-mail the corresponding author
关键词:
Solubility
;
Supercritical carbon dioxide
;
Cosolvent
;
PR+COSMOSAC EOS
;
Prediction
刊名:Fluid Phase Equilibria
出版年:2017
8.
Analysis of the Poisson-Nernst-Planck
equation
in a ball for modeling the Voltage-Current relation in neurobiological microdomains
作者:
J. Cartailler
b
;
Z. Schuss
c
;
schuss@post.tau.ac.il
;
D. Holcman
a
;
b
;
david.holcman@ens.fr
关键词:
Poisson&ndash
;
Nernst&ndash
;
Planck
;
Electro-diffusion
;
First passage time
;
Dendritic spine
;
Boltzman&ndash
;
Poisson
equation
;
Asymptotics
刊名:Physica D: Nonlinear Phenomena
出版年:2017
9.
Generalized total least squares
prediction
algorithm for universal 3D similarity transformation
作者:
Bin Wang
a
;
b
;
binwangsgg@whu.edu.cn
;
Jiancheng Li
a
;
Chao Liu
c
;
Jie Yu
d
关键词:
3D similarity transformation
;
Errors&ndash
;
in&ndash
;
variables model
;
Total least squares
prediction
;
Gauss&ndash
;
Newton approach
刊名:Advances in Space Research
出版年:2017
10.
Prediction
of functional ARMA processes with an application to traffic data
作者:
J. Klepsch
;
johannes.klepsch@tum.de
;
j.klepsch@tum.de
;
C. Klü
;
ppelberg
cklu@tum.de
;
T. Wei
taoran.wei@tum.de
关键词:
Functional ARMA process
;
Functional principal component analysis (FPCA)
;
Functional time series analysis (FTSA)
;
Functional
prediction
;
Traffic data analysis
刊名:Econometrics and Statistics
出版年:2017
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