Handbook For Applied Modeling Non Gaussian And Correlated Data
Download Handbook For Applied Modeling Non Gaussian And Correlated Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Handbook For Applied Modeling Non Gaussian And Correlated Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Handbook for Applied Modeling: Non-Gaussian and Correlated Data
Author: Jamie D. Riggs
language: en
Publisher: Cambridge University Press
Release Date: 2017-07-14
This compact, entry-level Handbook equips applied practitioners to choose and use core models for real-world data - with R and SAS.
Handbook of Environmental and Ecological Statistics
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Handbook of Spatial Statistics
Assembling a collection of very prominent researchers in the field, the Handbook of Spatial Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects of this maturing area. It takes a unified, integrated approach to the material, providing cross-references among chapters.The handbook begins with a historical intro