Regression & Linear Modeling
Subtitle: Best Practices and Modern Methods
Publisher: SAGE Publications, Inc
Published: 2017
Place of publication: Los Angeles, USA
Language: eng
Format: Hardcover
Number of pages: 486
ISBN-13: 9781506302768
Copyright date: ©2017
Other titles: Regression And Linear Modeling
Description: This book provides conceptual, user-friendly coverage of the generalized linear model (GLM). Themes covered include testing assumptions, examining data quality, and nonlinear and non-additive effects modelled within different types of linear models.
Notes: Includes bibliographical references and index.
Table of contents: title: -A Nerdly manifesto --; title: -Basic estimation and assumptions --; title: -Simple linear models with continuous dependent variables : simple regression analyses --; title: -Simple linear models with continuous dependent variables : simple ANOVA analyses ---; title: -Simple linear models with catagorical dependent variables : multinomial and ordinal logistic -regression --; title: -Simple curvilinear models --; title: -Multiple independent variables --; title: -Interactions between independent variables : simple moderation --; title: -Curvilinear interactions between independent variables --; title: -Poisson models : low-frequency count data as dependent variables --; title: -Long-linear models : general linear models when all of your variables are unordered categorical --; title: -A brief introduction to hierarchical linear modeling --; title: -Missing data in linear modeling --; title: -Trustworthy science : improving statistical reporting --; title: -Reliable measurement matters --; title: -Prediction in the generalized linear model --; title: -Modeling in large, complex samples : the importance of using appropriate weights and design effect compensation.