Linear Models in Matrix Form A Hands-On Approach for the Behavioral Sciences /

This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include o...

Full description

Bibliographic Details
Main Author: Brown, Jonathon D. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2014.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Matrix Properties and Operations
  • Simple Linear Regression
  • Maximum Likelihood Estimation
  • Multiple Regression
  • Matrix Decompositions
  • Problematic Observations
  • Errors and Residuals
  • Linearizing Transformations and Nonparametric Smoothers
  • Cross-Product Terms and Interactions
  • Polynomial Regression
  • Categorical Predictors
  • Factorial Designs
  • Analysis of Covariance
  • Moderation
  • Mediation.