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Timothy W. Simpson
Researcher at Pennsylvania State University
Publications - 470
Citations - 23791
Timothy W. Simpson is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Product (category theory) & New product development. The author has an hindex of 65, co-authored 460 publications receiving 21728 citations. Previous affiliations of Timothy W. Simpson include Bucknell University & Georgia Institute of Technology.
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Metamodels for Computer-Based Engineering Design: Survey and Recommendations
TL;DR: This paper surveys their existing application in engineering design, and addresses the dangers of applying traditional statistical techniques to approximate deterministic computer analysis codes, along with recommendations for the appropriate use of statistical approximation techniques in given situations.
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Comparative studies of metamodelling techniques under multiple modelling criteria
TL;DR: This paper systematically compare four popular metamodelling techniques – polynomial regression, multivariate adaptive regression splines, radial basis functions, and kriging – based on multiple performance criteria using fourteen test problems representing different classes of problems.
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Kriging Models for Global Approximation in Simulation-Based Multidisciplinary Design Optimization
TL;DR: This work investigates the use of kriging models as alternatives to traditional second-order polynomial response surfaces for constructing global approximations for use in a real aerospace engineering application, namely, the design of an aerospike nozzle.
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Use of Kriging Models to Approximate Deterministic Computer Models
Jay D. Martin,Timothy W. Simpson +1 more
TL;DR: This paper compares Maximum Likelihood Estimation (MLE) and Cross-Validation (CV) parameter estimation methods for selecting a kriging model’s parameters given its form and and an R 2 of prediction and the corrected Akaike Information Criterion for assessing the quality of the created kriged model, permitting the comparison of different forms of a k Riging model.
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Product family design and platform-based product development: a state-of-the-art review
TL;DR: A decision framework is introduced to reveal a holistic view of product family design and platform-based product development, encompassing both front-end and back-end issues.