Guide to Multiple Regression

Samia Challal (Autor)

Buch | Hardcover

224 Seiten

2025
CRC Press (Verlag)
978-1-041-01891-9 (ISBN)

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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. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods.

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.

Basics in inferential statistics and basics in a programming language are necessary prerequisites to engage well with the content. We believe that using a computer is the only practical means of performing a linear or multilinear regression on a data set of even moderate size. Therefore, our purpose is to make these connections between theory, technology, and applications, as clear as possible.

Features

Focused summaries of the main statistical methods, followed by solved questions
Integration of R as a calculator, and as a programming language in solving each question with ease and accuracy
Use of simple coding that illustrates the connection to the theory
Suggest progressively alternative codes
Visualization and interpretation of the R outputs

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.

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

Erscheinungsdatum	31.10.2025
Zusatzinfo	12 Tables, black and white; 35 Line drawings, color; 1 Line drawings, black and white; 35 Illustrations, color; 1 Illustrations, black and white
Verlagsort	London
Sprache	englisch
Maße	156 x 234 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
ISBN-10	1-041-01891-6 / 1041018916
ISBN-13	978-1-041-01891-9 / 9781041018919
Zustand	Neuware