On the use of infrared spectroscopy and statistical learning with sparsity to characterize hydrocarbon fuels /

Two strategies (named strategy 1 and 2) on using infrared absorption spectra and sparse statistical models to characterize hydrocarbon fuels are proposed and demonstrated in this dissertation. Specifically, linear models and generalized linear models with Lasso and grouped-Lasso regularization are u...

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Bibliographic Details
Main Author: Wang, Yu, active 2020 (Author)
Corporate Author: Stanford University Department of Mechanical Engineering
Other Authors: Bowman, Craig T (Craig Thomas), 1939- (Thesis advisor, degree committee member.), Hanson, Ronald (Thesis advisor), Wang, Hai, 1962- (Thesis advisor, degree committee member)
Format: Thesis Book
Language:English
Published: [Stanford, California] : [Stanford University], 2020

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