This new book with 17 chapters is unique and different from the previous forest hydrology books in that world-renowned international professors, scientists, engineers, managers and researchers with a long background and expertise in forest hydrology, management and applications …
This new book with 17 chapters is unique and different from the previous forest hydrology books in that world-renowned international professors, scientists, engineers, managers and researchers with a long background and expertise in forest hydrology, management and applications …
"Statistical methods are a key tool for all scientists working with data, but learning the basic mathematical skills can be one of the most challenging components of a biologists training. This accessible book provides a contemporary introduction to the classical techniques and …
The goal of this book is to sharpen the skill, sophistication, and intuition of the reader in the interpretation of mental test data, and in the construction and use of mental tests both as instruments of psychological theory and as tools in the practical problems of selection, …
With interest growing in areas of forestry, conservation and other natural sciences, the need to organize and tabulate large amounts of forestry and natural science information has become a necessary skill. Previous attempts of applying statistical methods to these areas tend to…
Probability and statistics with R
by Ugarte, María Dolores, Militino, Ana F., Arnholt, Alan
This book presents treatments of data analysis using parametric and nonparametyric techniques. It links statistical concepts with R procedures, anabling the application of the language to the vast world of statistics.
"R is a powerful open-source computing tool that supports geographical analysis and mapping. For geographers and 'non-geographers' alike, this text provides an introduction to the use of R for spatial statistical analysis, geocomputation, and the analysis of geographical informa…
The number and variety of statistical techniques for spatial analysis of ecological data are burgeoning and many ecologists are unfamiliar with what is available and how the techniques should be used. This book provides an overview of the wide range of spatial statistics availab…
Practical meta-analysis
by Wilson, David B., Lipsey, Mark W.
fromApplied social research methods series
This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound fo…
This book presents the latest advances in the theory and practice of Marshall-Olkin distributions. These distributions have been increasingly applied in statistical practice in recent years, as they make it possible to describe interesting features of stochastic models like non-…
This book focuses on general frameworks for modeling heavy-tailed distributions in economics, finance, econometrics, statistics, risk management and insurance. A central theme is that of (non- )robustness, i.e., the fact that the presence of heavy tails can either reinforce or r…
The Second Bayesian Young Statisticians Meeting (BAYSM 2014) and the research presented here facilitate connections among researchers using Bayesian Statistics by providing a forum for the development and exchange of ideas. WU Vienna University of Business and Economics hosted B…
Social science data analysts have long considered the mediation of intermediate variables of primary importance in understanding individuals’ social, behavioural and other kinds of outcomes. In this book Dawn Iacobucci uses the method known as structural equation modeling (SEM) …
"David Card and Alan B. Krueger have already made national news with their pathbreaking research on the minimum wage. Here they present a powerful new challenge to the conventional view that higher minimum wages reduce jobs for low-wage workers. In a work that has important impl…
Third edition of this classic text that facilitates a deep understanding of the Rasch model. The authors review the crucial properties of the model and demonstrate its use with a variety of examples from education, psychology, and health. A glossary and numerous illustrations ai…
Codon-based models of evolution are a relatively new addition to the toolkit of computational biologists, and in recent years remarkable progress has been made in this area. The study of evolution at the codon level captures information contained in both amino acid and synonymo…
This book provides a comprehensive overview of the mathematical algorithms and methods used to rate and rank sports teams, political candidates, products, Web pages, and more. In a series of interesting asides, Langville and Meyer provide fascinating insights into the ingenious …