Regression Basics A Student's Guide to Quantitative Methods and Statistical Analysis

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.

Detalles Bibliográficos
Otros Autores: Kahane, Leo H., author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Abingdon, England : Routledge [2025]
Edición:Third edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009869137106719
Tabla de Contenidos:
  • Cover
  • Half Title
  • Title Page
  • Copyright Page
  • Dedication
  • Contents
  • Preface
  • Acknowledgments
  • 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
  • Glossary
  • References
  • Index.