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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Brown, Jonathon D. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.