Modern Statistical Techniques and Sustainability Studies: Selected Papers from the 9th International Conference on PLS and Related Methods (PLS'17)

Dear Colleagues,

By comparing with first-generation statistical techniques (e.g., linear regression, ANOVA, MANOVA), second-generation techniques can provide a more rigorous analysis by assessing the structural model and the measurement model at the same time. With the proliferation of second-generation statistical techniques in nutrition, technology, energy, economics, sustainable cities, management, consumption and other sustainability disciplines, it is time to have a a dearth of understanding regarding the role that second-generation statistical techniques can play toward achiving social and environmental sustainability studies.

This Special Issue will address wide-ranging topics on modern statistical techniques and sustainability studies, espeically the original methodological contributions in modern statistical techniques with application in areas and disciplines related to management, social sciences, chemometrics, sensory analysis, industry, tourism and life sciences including genomics. It is hoped that the broad scope of this Special Issue will encourage submissions from across several disciplines.

Dr. Ivan K. W. Lai
Dr. Yide Liu
Guest Editors

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