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Exposes readers to many exciting and useful statistical techniques through real data examples, such as the mouse data, the stamp data, the tooth data and the hormone data. Describes various techniques, including nonparametric regression, density[...]
Addresses a class of statistical models that generalizes classical linear models-extending them to include many other models useful in statistical analysis. Incorporates numerous exercises, both theoretical and data-analytic Discusses quasi-like[...]
Explains systematically how to use R to perform a wide variety of statistical analyses. Emphasizes practical application and interpretation of results rather than focusing on the theory behind the analyses. Offers an introduction to R, including[...]
Its been over a decade since the first edition of "Measurement Error in Nonlinear Models" splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, "Measure[...]
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