Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
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
Hierarchical Modeling and Analysis for Spatial Data
Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven particularly fruitful. Yet to date, the few books that address the subject have been either too narrowly focused on specific aspects of spatial analysis,
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.
Hierarchical Modelling for the Environmental Sciences
New statistical tools are changing the ways in which scientists analyze and interpret data and models. Many of these are emerging as a result of the wide availability of inexpensive, high speed computational power. In particular, hierarchical Bayes and Markov Chain Monte Carlo methods for analysis provide consistent framework for inference and prediction where information is heterogeneous and uncertain, processes are complex, and responses depend on scale. Nowhere are these methods more promising than in the environmental sciences. Models have developed rapidly, and there is now a requirement for a clear exposition of the methodology through to application for a range of environmental challenges.
Bayesian Theory and Applications
This volume guides the reader along a statistical journey that begins with the basic structure of Bayesian theory, and then provides details on most of the past and present advances in this field.
Bayesian Data Analysis, Third Edition
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly ...
Handbook of Markov Chain Monte Carlo
Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an astonishing array of disciplines as diverse as fisherie
A Secret History of the Ollie
Every culture has a creation myth, and skateboarding is no different. The Ollie forged a new identity for skateboarding after its invention in the 1970s, and it lies at the root of nearly every significant move in street skating today. This groundbreaking no-handed aerial has also affected the evolution of surfing and snowboarding, and has left a permanent impression upon popular culture and language. This, then, is the story of the Ollie, the history and technology that set the stage for its creation, the pioneers who made it happen, and the skaters who used it to start a revolution.
Glen E. Friedman
The definitive monograph of Glen E. Friedman, a pioneer of skate, punk, and hip-hop photography, including much never-before-published work. Glen E. Friedman is best known for his work capturing and promoting rebellion in his portraits of artists such as Fugazi, Black Flag, Ice-T, Dead Kennedys, Minor Threat, The Misfits, Bad Brains, Beastie Boys, Run-D.M.C., and Public Enemy, as well as classic skateboarding originators such as Tony Alva, Jay Adams, Alan "Ollie" Gelfand, Duane Peters, and Stacy Peralta, and a very young Tony Hawk. Designed in association with celebrated street and graphic artist Shepard Fairey, this monograph captures the most important and influential underground heroes of skateboarding, punk, and hip-hop cultures. My Rules is an unprecedented window into the three most significant countercultures of the last quarter of the twentieth century, and Friedman’s photographs define those important movements that he helped shape. A remarkable chronicle and a primer about the origins of radical street cultures, My Rules is also a statement of artistic inspiration for those influenced by these countercultures.
Geostatistical Reservoir Modeling
A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.
