Search Results - subject:"factor screening"

Applying sequential bifurcation and feed-forward simulation to reduce the prescriptive response time of a digital twin

Walton, Ryan B.; Ciarallo, Frank W.; Champagne, Lance E. - In: International journal of production economics 292 (2026), pp. 1-16

Persistent link: https://www.econbiz.de/10015604734

Is machine learning a necessity? : a regression-based approach for stock return prediction

Cheng, Tingting; Jiang, Shan; Zhao, Albert Bo; Zhao, Junyi - In: Journal of empirical finance 81 (2025), pp. 1-18

Persistent link: https://www.econbiz.de/10015405425

Unveiling the impact of defect complaints on vehicle recall delays : an integrated agent-based simulation and factor screening approach

Shi, Wen; Xie, Xiang; Chen, Xi - In: International journal of production research 63 (2025) 19, pp. 6939-6960

Persistent link: https://www.econbiz.de/10015547226

Generating and validating cluster sampling matrices for model-free factor screening

Shi, Wen; Chen, Ao; Xie, Xiang - In: European journal of operational research : EJOR 313 (2024) 1, pp. 241-257

Persistent link: https://www.econbiz.de/10014456556

Design and analysis of simulation experiments : tutorial

Kleijnen, Jack P. C. - 2017

Persistent link: https://www.econbiz.de/10011643247

An efficient Morris method-based framework for simulation factor screening

Shi, Wen; Chen, Xi; Shang, Jennifer - In: INFORMS journal on computing : JOC 31 (2019) 4, pp. 745-770

Persistent link: https://www.econbiz.de/10012125742

Efficient budget allocation strategies for elementary effectsmethod in stochastic simulation

Shi, Wen; Chen, Xi - In: Naval research logistics : an international journal 65 (2018) 3, pp. 218-241

Persistent link: https://www.econbiz.de/10012166187

Analyzing supersaturated designs for discrete responses via generalized linear models

Balakrishnan, N.; Koukouvinos, C.; Parpoula, C. - In: Statistical Papers 56 (2015) 1, pp. 121-145

A supersaturated design is a factorial design in which the number of factors to be estimated is larger than the available number of experimental runs. The cost and time required for many industrial experimentations can be reduced by using the class of supersaturated designs, since the main goal...

Persistent link: https://www.econbiz.de/10011151882

Design of Experiments : An Overview

Kleijnen, Jack P.C. - Tilburg University, Center for Economic Research - 2008

simulation. DOE may have two goals: sensitivity analysis including factor screening and optimization. This contribution starts … with classic DOE including 2k-p and Central Composite designs. Next, it discusses factor screening through Sequential …

Persistent link: https://www.econbiz.de/10011090795

An information theoretical algorithm for analyzing supersaturated designs for a binary response

Balakrishnan, N.; Koukouvinos, C.; Parpoula, C. - In: Metrika 76 (2013) 1, pp. 1-18

A supersaturated design is a factorial design in which the number of effects to be estimated is greater than the number of runs. It is used in many experiments, for screening purpose, i.e., for studying a large number of factors and identifying the active ones. In this paper, we propose a method...

Persistent link: https://www.econbiz.de/10010995027