Some new ideas on fractional factorial design and computer experiment

Gaussian process;Perez model;Conditional man effect;Design of experiment;Computer experiment;Conversion optimization;Building simulation;Uncertainty quantification;Factional factorial design;Directed graph

Su, Heng ; Wu, Jeff Industrial and Systems Engineering Shi, Jianjun Vengazhiyil, Roshan Haaland, Ben Augenbroe, Godfried ; Wu, Jeff

University:Georgia Institute of Technology

Department:Industrial and Systems Engineering

关键词: Gaussian process;    Perez model;    Conditional man effect;    Design of experiment;    Computer experiment;    Conversion optimization;    Building simulation;    Uncertainty quantification;    Factional factorial design;    Directed graph;   

Others  :  https://smartech.gatech.edu/bitstream/1853/53505/1/SU-DISSERTATION-2015.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

This thesis consists of two parts. The first part is on fractional factorial design, and the second part is on computer experiment. The first part has two chapters. In the first chapter, we use the concept of conditional main effect, and propose the CME analysis to solve the problem of effect aliasing in two-level fractional factorial design. In the second chapter, we study the conversion rates of a system of webpages with the proposed funnel testing method, by using directed graph to represent the system, fractional factorial design to conduct the experiment, and a method to optimize the total conversion rate with respect to all the webpages in the system. The second part also has two chapters. In the third chapter, we use regression models to quantify the model form uncertainties in the Perez model in building energy simulations. In the last chapter, we propose a new Gaussian process that can jointly model both point and integral responses.