Bøker av John Fox

The Alvis company of Coventry were motor and aero engineers who made some of the finest motor cars during the period 1920 to 1967, when car production stopped. There were no independent coachbuilders left and mass production was not for Alvis. Total production was a mere 21,250 and fewer than 7,000 after the Second World War. It is the post-war cars that this book focuses on. The successor to Alvis's iconic Fourteen, the Three Litre, had a production run of seventeen years and the newest is now nearly fifty years old. John Fox offers a fascinating look at both technical and historical aspects of Alvis cars during this period, utilising rare archival and modern photographs.

Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

Marx, the Body, and Human Nature shows that the body and the broader material world played a far more significant role in Marx's theory than previously recognised. It provides a fresh 'take' on Marx's theory, revealing a much more open, dynamic and unstable conception of the body, the self, and human nature.

This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text but rather to complement it, although it does promote sound statistical practice in the examples. The book should also be useful to individual casual or occasional users of R for whom the standard command-line interface is an obstacle.tinyurl.com/RcmdrBookThe site includes data files used in the book and an errata list.http://socserv.mcmaster.ca/jfox/Books/RCommander/Writing-Rcmdr-Plugins.pdfWriting R Commander Plug-in Packages

This book builds on John Fox's previous volume in the QASS Series, Non Parametric Simple Regression. In this book, the reader learns how to estimate and plot smooth functions when there are multiple independent variables.

John Fox introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit.