Estimation and variable selection in joint mean and dispersion models applied to mixture experiments

Edmilson Rodrigues Pinto; Leandro Alves Pereira

doi:10.1016/j.chemolab.2022.104590

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Estimation and variable selection in joint mean and dispersion models applied to mixture experiments

Edmilson Rodrigues Pinto Leandro Alves Pereira

Year: 2022 Journal: Chemometrics and Intelligent Laboratory Systems Vol: 227 Pages: 104590-104590 Publisher: Elsevier BV

DOI: 10.1016/j.chemolab.2022.104590

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Keywords:

Constant (computer programming) Dispersion (optics) Variance (accounting) Term (time) Mixture model Mathematics Variable (mathematics) Model selection Statistics Computer science Selection (genetic algorithm) Applied mathematics Mathematical optimization Econometrics Artificial intelligence

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Optimal Experimental Design Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Advanced Statistical Process Monitoring

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Estimation and variable selection in joint mean and dispersion models applied to mixture experiments

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