240 Pages
35 Color & 1 B/W Illustrations
by
Chapman & Hall
240 Pages
35 Color & 1 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
This book is intended to equip the reader with concept knowledge on multilinear regression methods, and develop technical skills while solving problems with the R programming language. The goal is not to become an expert in both directions. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods.
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List of Figures List of Tables Preface 1 Simple linear probabilistic model 2 Multi-linear regression 3 Non-Basic Regression Appendix: Q-Q plot Appendix: Residual Plots Bibliography Index
Biography
Samia Challal is an associate professor at Glendon College; the bilingual campus of York University. She teaches courses in Analysis, Algebra, and Statistics. Her research draws on partial differential equations applied to fluid dynamics, optimization, homogenization problems, and mathematics education. She received her PhD from the University of Metz, France.
