Book Reviews

@article{Fox2011BookR,
  title={Book Reviews},
  author={John P. Fox and Jim Albert and Steven A Julious and Deb Ranjan Sinha},
  journal={Journal of the American Statistical Association},
  year={2011},
  volume={106},
  pages={1219 - 1224}
}
  • J. Fox, J. Albert, D. Sinha
  • Published 1 September 2011
  • Computer Science
  • Journal of the American Statistical Association
The second part of the book is devoted to NLME, beginning with an overview of NLME models, continuing with a 30-page excursus of theory and computing for NLME, and concluding with a Ž nale on NLME usage, including a brief treatment of the important topic of self-starting nonlinear regression modeling tools. A key issue in NLME model estimation is how the likelihood is approximated. The nlme function uses the method of Lindstrom and Bates (1990), which alternates between nls for nonlinear… 

References

SHOWING 1-10 OF 19 REFERENCES
A First Course in Linear Model Theory
Chapter 3 considers three extensions: mixed GWR models, in which some regression coefŽ cients vary spatially but others are global; robust GWR, in which spatial outliers are downweighted; and
The Theory and Practice of Item Response Theory
TLDR
The Rasch Models for Ordered Polytomous Data and the Generalized Partial Credit Model: Conceptual Development of the Multiple-Choice Model, and Issues to Consider in Selecting among the 1PL, 2PL, and 3PL Models.
Solving least squares problems
Since the lm function provides a lot of features it is rather complicated. So we are going to instead use the function lsfit as a model. It computes only the coefficient estimates and the residuals.
Accuracy and stability of numerical algorithms
TLDR
This book gives a thorough, up-to-date treatment of the behavior of numerical algorithms in finite precision arithmetic by combining algorithmic derivations, perturbation theory, and rounding error analysis.
Numerical Linear Algebra for High-Performance Computers
From the Publisher: This book presents a unified treatment of recently developed techniques and current understanding about solving systems of linear equations and large scale eigenvalue problems on
Nonlinear mixed effects models for repeated measures data.
TLDR
A general, nonlinear mixed effects model for repeated measures data and define estimators for its parameters are proposed and Newton-Raphson estimation is implemented using previously developed computational methods for nonlinear fixed effects models and for linear mixed effects models.
A First Course in Linear Model Theory
A Review of Vector and Matrix Algebra. Properties of Special Matrices. Generalized Inverse and Solutions to Linear Systems. The General Linear Model. Multivariate Normal And Related Distributions.
Environmental Statistics With S-PLUS
TLDR
This book demonstrates how quantitative insights into the behavior of software processes can be gained and used to achieve both business and technical goals by establishing a framework and providing the necessary detail to implement SPC.
Numerical Linear Algebra for Applications in Statistics
TLDR
This chapter discusses computer storage and Manipulation of data, computer operations on Numeric Data, and software for Numerical Linear Algebra.
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