Advanced Statistics for the Behavioral Sciences : A Computational Approach with R. 1st ed. 2018

種類:

電子ブック

責任表示:

by Jonathon D. Brown

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2018

著者名:

• Brown, Jonathon D.
• SpringerLink (Online service)

ISBN:

9783319935492 [3319935496]    

注記:

Linear Equations -- Least Squares Estimation -- Linear Regression -- Eigen Decomposition -- Singular Value Decomposition -- Generalized Least Squares Estimation -- Robust Regression -- Model Selection and Biased Estimation -- Cubic Splines and Additive Models -- Nonlinear Regression and Optimization -- Generalized Linear Models -- Survival Analysis -- Time Series Analysis -- Mixed Effects Models. .
This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using the R software environment. Statistical methods are being increasingly developed and refined by computer scientists, with expertise in writing efficient and elegant computer code. Unfortunately, many researchers lack this programming background, leaving them to accept on faith the black-box output that emerges from the sophisticated statistical models they frequently use. Building on the author’s previous volume, Linear Models in Matrix Form, this text bridges the gap between computer science and research application, providing easy-to-follow computer code for many statistical analyses using the R software environment. The text opens with a foundational section on linear algebra, then covers a variety of advanced topics, including robust regression, model selection based on bias and efficiency, nonlinear models and optimization routines, generalized linear models, and survi

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