Hocking, Ronald R.

Methods and applications of linear models: regression and the analysis of variance Hocking, Ronald R. - 3rd ed. - New Jersey John Wiley & Sons 2013 - xxiii, 676 p. - Wiley Series in Probability and Statistics .

The book presents a unique discussion that combines coverage of mathematical theory of linear models with analysis of variance models, providing readers with a comprehensive understanding of both the theoretical and technical aspects of linear models. With a new focus on fixed effects models, Methods and Applications of Linear Models: Regression and the Analysis of Variance, Third Edition also features:

Newly added topics including least squares, the cell means model, and graphical inspection of data in the AVE method
Frequent conceptual and numerical examples for clarifying the statistical analyses and demonstrating potential pitfalls
Graphics and computations developed using JMP software to accompany the concepts and techniques presented
Numerous exercises presented to test readers and deepen their understanding of the material

An ideal book for courses on linear models and linear regression at the undergraduate and graduate levels, the Third Edition of Methods and Applications of Linear Models: Regression and the Analysis of Variance is also a valuable reference for applied statisticians and researchers who utilize linear model methodology.


Regression analysis
Analysis of variance
Linear models (Statistics)
Probability and Statistics

519.536 / H6M3

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