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Mathematical Foundations of Computer Science introduces students to the discrete mathematics needed later in their Computer Science coursework with theory of... Læs mere
This book focuses on several skew-normal mixed effects models, and systematically explores the statistical inference theories, methods, and applications... Læs mere
This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R.
Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research.
This volume presents a selection of articles on statistical modeling and... Læs mere
Researchers in behavior metrics have developed, extended, and improved methods such as multivariate statistical analysis,... Læs mere
This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation.
The volume features high-quality papers based on the presentations at the ICOSAHOM 2020+1 on spectral and high order methods.
The purpose of this book is to thoroughly prepare diverse areas of researchers in quantification theory. Unlike many books on quantification theory, the current book places more emphasis on preliminary requisites of mathematical tools than on details of quantification theory.