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Permutation and Grouping Methods for Sharpening Gaussian Process Approximations
Taylor & Francis Verlag | 2018| -
Modeling an Augmented Lagrangian for Blackbox Constrained Optimization
Taylor & Francis Verlag | 2016| -
Bayesian Model Building From Small Samples of Disparate Data for Capturing In-Plane Deviation in Additive Manufacturing
Taylor & Francis Verlag | 2018| -
Optimum Allocation Rule for Accelerated Degradation Tests With a Class of Exponential-Dispersion Degradation Models
Taylor & Francis Verlag | 2016| -
Statistical Methods for Degradation Data With Dynamic Covariates Information and an Application to Outdoor Weathering Data
Taylor & Francis Verlag | 2015| -
System Reliability and Component Importance Under Dependence: A Copula Approach
Taylor & Francis Verlag | 2017| -
A Component-Position Model, Analysis and Design for Order-of-Addition Experiments
Taylor & Francis Verlag | 2021| -
Compressing an Ensemble With Statistical Models: An Algorithm for Global 3D Spatio-Temporal Temperature
Taylor & Francis Verlag | 2016| -
Real-Time Monitoring of High-Dimensional Functional Data Streams via Spatio-Temporal Smooth Sparse Decomposition
Taylor & Francis Verlag | 2018| -
The Mahalanobis Distance for Functional Data With Applications to Classification
Taylor & Francis Verlag | 2015| -
Scan Statistics for the Online Detection of Locally Anomalous Subgraphs
Taylor & Francis Verlag | 2013| -
Bayesian Methods for Planning Accelerated Repeated Measures Degradation Tests
Taylor & Francis Verlag | 2021| -
Univariate Dynamic Screening System: An Approach For Identifying Individuals With Irregular Longitudinal Behavior
Taylor & Francis Verlag | 2014|
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