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This book shows how to use statistical computing in survey analysis. It presents a linked set of... Læs mere
A new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the... Læs mere
This accessible handbook explains how to apply statistical tests to experimental findings, identify the assumptions underlying the... Læs mere
Parallel processing can be ideally suited for the solving of more complex problems in statistical computing. This book discusses code development in C++ and R, before... Læs mere
Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified framework of GMRFs with particular emphasis on the computational aspects.
Statistical Methods for Spatial Data Analysis is a comprehensive treatment of statistical theory and methods for spatial data... Læs mere
This book provides a starting point for the understanding of Geometric Algebra in a 2D setting as a foundation for the understanding of 3D applications, especially those using the very popular Conformal Geometric Algebra. The focus is on an algebra, called Compass Ruler Algebra.
The capability of computer algebra systems for creating animations has given mathematics instructors a powerful means of demonstrating mathematical concepts. But learning to make... Læs mere
Challenge your brain with math! Using nothing more than basic arithmetic and logic, you'll be thrilled as answers slot into place. Whether purely for fun or to test your... Læs mere
This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others.
This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others.
Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification,... Læs mere