Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Regression Basics - Leo H. Kahane

Regression Basics

A Student’s Guide to Quantitative Methods and Statistical Analysis

(Autor)

Buch | Hardcover
216 Seiten
2024 | 3rd edition
Routledge (Verlag)
978-1-032-39247-9 (ISBN)
CHF 235,65 inkl. MwSt
  • Versand in 10-20 Tagen
  • Versandkostenfrei
  • Auch auf Rechnung
  • Artikel merken
Using an accessible, non-technical approach, the third edition of Regression Basics introduces readers to the fundamentals of statistical regression. Accessible to anyone with an introductory statistics background, the book draws on engaging examples using real-world data and software programs.
Using an accessible, nontechnical approach, the third edition of Regression Basics introduces readers to the fundamentals of statistical regression. Accessible to anyone with an introductory statistics background, the book draws on engaging examples using real-world data and software programs SPSS®, Stata®, and R to illustrate the key concepts of the least squares regression methodology.

The book emphasizes the intuition of regression methodology and provides a hands-on approach, as well as helpful end-of-chapter summaries and questions to consolidate learning. This new edition has been substantially revised and enhanced, with features including the following:



Fully updated to show procedures in R, SPSS®, and Stata®
Color images and substantially revised visual presentation
A suite of online resources including data sets, software instructions, and PowerPoint slides for instructors
New and updated examples throughout
Expanded material to help students overcome "math anxiety"
Expanded material on multicollinearity, heteroskedasticity, and robust standard errors

This well-paced book is ideal for advanced undergraduate and graduate students focusing on quantitative methods, research design, and statistical regression in the social and behavioral sciences, political science, and economics.

Leo H. Kahane is the Michael A. Ruane Distinguished Chair in Economics at Providence College in Rhode Island, USA. He earned his BA degree in economics at the University of California, Berkeley, and his PhD degree in economics at Columbia University. He is the author/editor of multiple books, various book chapters, and dozens of peer-reviewed journal articles. He is also the founding editor of the Journal of Sports Economics.

1. Introduction 2. An Introduction to the Linear Regression Model 3. The Least Squares Estimation Method 4. Model Performance and Evaluation 5. The Multiple Regression Model 6. Nonlinear and Logarithmic Models and Dummy and Interaction Variables 7.Time Series and Panel Data: An Introduction 8. Some Common Problems in Regression Analysis 9. Where to Go from Here Appendix A: t Table

Erscheinungsdatum
Zusatzinfo 41 Tables, color; 50 Line drawings, color; 50 Illustrations, color
Verlagsort London
Sprache englisch
Maße 152 x 229 mm
Gewicht 580 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Mathematik / Informatik Mathematik
Sozialwissenschaften Soziologie Empirische Sozialforschung
Wirtschaft Volkswirtschaftslehre Ökonometrie
ISBN-10 1-032-39247-9 / 1032392479
ISBN-13 978-1-032-39247-9 / 9781032392479
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Grundkurs

von E. Bruce Goldstein; Laura Cacciamani; Karl R. Gegenfurtner

Buch | Hardcover (2023)
Springer (Verlag)
CHF 83,95