Effect Aliasing in Gaussian Random Field Models

博士 === 國立清華大學 === 統計學研究所 === 103 === Effect aliasing is an inevitable consequence of using fractional factorial designs. For Gaussian random field models, advocated in some Bayesian design and computer experiment literature, the impact of effect aliasing has not received adequate attention. In this...

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Bibliographic Details
Main Authors: Chang, Ming Chung, 張明中
Other Authors: Cheng, Shao Wei
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/59473032396196752078