International Journal for Uncertainty Quantification
Выходит 6 номеров в год
ISSN Печать: 2152-5080
ISSN Онлайн: 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
Том 2, 2012 Выпуск 2
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2
ROBUST STOCHASTIC DESIGN OF BASE-ISOLATED STRUCTURAL SYSTEMS
pp. 95-110
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.20
STOCHASTIC DRILL-STRING DYNAMICS WITH UNCERTAINTY ON THE IMPOSED SPEED AND ON THE BIT-ROCK PARAMETERS
pp. 111-124
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.30
FORWARD AND BACKWARD UNCERTAINTY PROPAGATION FOR DISCONTINUOUS SYSTEM RESPONSE USING THE PADÉ-LEGENDRE METHOD
pp. 125-143
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.40
A STOCHASTIC COLLOCATION APPROACH FOR UNCERTAINTY QUANTIFICATION IN HYDRAULIC FRACTURE NUMERICAL SIMULATION
pp. 145-160
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.50
RELATIONSHIP BETWEEN BAYESIAN AND FREQUENTIST SIGNIFICANCE INDICES
pp. 161-172
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.60
A BAYES NETWORK APPROACH TO UNCERTAINTY QUANTIFICATION IN HIERARCHICALLY DEVELOPED COMPUTATIONAL MODELS
pp. 173-193
DOI: 10.1615/Int.J.UncertaintyQuantification.v2.i2.70
Последний выпуск
Статьи, принятые к публикации
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
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