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#### Spatial Statistics and Spatio-Temporal Data

Wiley 2011; US$ 111.95In the spatial or spatio-temporal context, specifying the correct covariance function is fundamental to obtain efficient predictions, and to understand the underlying physical process of interest. This book focuses on covariance and variogram functions, their role in prediction, and appropriate choice of these functions in applications. Both recent... more...

#### Applied Regression Analysis

Wiley 2014; US$ 195.00An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible... more...

#### Statistical Analysis and Modelling of Spatial Point Patterns

Wiley 2008; US$ 156.00Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres... more...

#### Statistics for Spatial Data

Wiley 2015; US$ 199.95The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.... more...

#### Adaptive Tests of Significance Using Permutations of Residuals with R and SAS

Wiley 2012; US$ 140.00Provides the tools needed to successfully perform adaptive tests across a broad range of datasets Adaptive Tests of Significance Using Permutations of Residuals with R and SAS illustrates the power of adaptive tests and showcases their ability to adjust the testing method to suit a particular set of data. The book utilizes state-of-the-art software... more...

#### Alternative Methods of Regression

Wiley 2011; US$ 216.00Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates and Donald G. Watts ".an extraordinary presentation of concepts and methods concerning the use and analysis of nonlinear regression models.highly recommend[ed].for anyone needing to use and/or understand issues concerning the analysis of nonlinear regression models."... more...

#### Applied Linear Regression

Wiley 2013; US$ 140.00Praise for the Third Edition "...this is an excellent book which could easily be used as a course text..." —International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the... more...

#### Applied Regression Modeling

Wiley 2012; US$ 140.00An applied and concise treatment of statistical regression techniques for business students and professionals who have little or no background in calculus Regression analysis is an invaluable statistical methodology in business settings and is vital to model the relationship between a response variable and one or more predictor variables, as well... more...

#### Bayesian and Frequentist Regression Methods

Springer New York 2013; US$ 99.00This book provides a balanced, modern introduction to Bayesian and frequentist methods for regression analysis. The author discusses Frequentist and Bayesian Inferences; Linear Models; Binary Data Models; General Regression Models and Survival Models. more...

#### Confidence Intervals in Generalized Regression Models

CRC Press 2008; US$ 121.95A Cohesive Approach to Regression Models Confidence Intervals in Generalized Regression Models introduces a unified representation?the generalized regression model (GRM)?of various types of regression models. It also uses a likelihood-based approach for performing statistical inference from statistical evidence consisting of data and its statistical... more...