Multiple Regression: A Practical Introduction
Autor Aki Roberts, John M. Robertsen Limba Engleză Paperback – mar 2021
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Specificații
ISBN-13: 9781544339702
ISBN-10: 1544339704
Pagini: 280
Dimensiuni: 178 x 254 x 17 mm
Greutate: 0.5 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
ISBN-10: 1544339704
Pagini: 280
Dimensiuni: 178 x 254 x 17 mm
Greutate: 0.5 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States
Recenzii
This book gives students the practical knowledge and foundation of regression analysis. It is refreshing that the book includes two
chapters the extend past linear regression to other types of analysis.
chapters the extend past linear regression to other types of analysis.
Cuprins
Chapter 1 Introduction
Chapter 2 Fundamentals of Multiple Regression
Chapter 3 Categorical Independent Variables in Multiple Regression: Dummy Variables
Chapter 4 Multiple Regression with Interaction
Chapter 5 Logged Variables in Multiple Regression
Chapter 6 Nonlinear Relationships in Multiple Regression
Chapter 7 Categorical Dependent Variables: Logistic Regression
Chapter 8 Count Dependent Variables: Poisson Regression
Chapter 9 A Brief Tour of Some Related Methods
Chapter 2 Fundamentals of Multiple Regression
Chapter 3 Categorical Independent Variables in Multiple Regression: Dummy Variables
Chapter 4 Multiple Regression with Interaction
Chapter 5 Logged Variables in Multiple Regression
Chapter 6 Nonlinear Relationships in Multiple Regression
Chapter 7 Categorical Dependent Variables: Logistic Regression
Chapter 8 Count Dependent Variables: Poisson Regression
Chapter 9 A Brief Tour of Some Related Methods
Descriere
Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. The book includes many interesting example analyses and interpretations, along with exercises.