International Journal for Uncertainty Quantification
Publication de 6 numéros par an
ISSN Imprimer: 2152-5080
ISSN En ligne: 2152-5099
IF:
1.7
5-Year IF:
1.9
Immediacy Index:
0.5
Eigenfactor:
0.0007
JCI:
0.5
SJR:
0.584
SNIP:
0.676
CiteScore™::
3
H-Index:
25
Indexed in
Volume 6, 2016 Numéro 3
DOI: 10.1615/Int.J.UncertaintyQuantification.v6.i3
BAYESIAN NONPARAMETRIC GENERAL REGRESSION
pp. 195-213
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016055
EMPIRICAL ACCELERATION FUNCTIONS AND FUZZY INFORMATION
pp. 215-228
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016285
STOCHASTIC SAMPLING BASED BAYESIAN MODEL UPDATING WITH INCOMPLETE MODAL DATA
pp. 229-244
DOI: 10.1615/Int.J.UncertaintyQuantification.2016017194
A STOPPING CRITERION FOR ITERATIVE SOLUTION OF STOCHASTIC GALERKIN MATRIX EQUATIONS
pp. 245-269
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016463
FAST AND ACCURATE MODEL REDUCTION FOR SPECTRAL METHODS IN UNCERTAINTY QUANTIFICATION
pp. 271-286
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016646
Dernier numéro
MODEL ERROR ESTIMATION USING PEARSON SYSTEM WITH APPLICATION TO NONLINEAR WAVES IN COMPRESSIBLE FLOWS
DECISION THEORETIC BOOTSTRAPPING
UNCERTAINTY QUANTIFICATION AND GLOBAL SENSITIVITY ANALYSIS OF SEISMIC FRAGILITY CURVES USING KRIGING
STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS
Prochains articles
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
SENSITIVITY ANALYSES OF A MULTI-PHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS
Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models