This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable.

Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations. Using R and simulation gives a ...

Adopts a pluralist approach introducing students to both environmental economics and ecological economics highlighting the explanatory power, and complementarity, of both approaches in exploring the economics of environmental and natural resource issues. This edition includes enhanced and updated coverage of topics such as the Green New Deal, post-Paris climate discussions, development in carbon trading systems, and deforestation in the Amazon to ensure the text is up-to-speed with the latest...

Despite the recent rapid growth in machine learning and predictive analytics, many of the statistical questions that are faced by researchers and practitioners still involve explaining why something is happening. Regression analysis is the best ‘swiss army knife’ we have for answering these kinds of questions.

This book is a learning resource on inferential statistics and regression analysis. It teaches how to do a wide range of statistical analyses in both R and in Python, ranging from s...

This engaging and complete resource has everything you need to bring drama and theatre techniques into the ESL, EFL, or World Language Classroom. Are your students reluctant to speak out in class? Do they lack confidence in their language skills? The dynamic drama games in this book are the perfect catalyst to transform your students into engaged learners, and help them build confidence and language skills. The interactive theatre games and techniques are specifically designed for use in Seco...

Offers a unified discussion of generalized linear models and correlated data methods. Provides information suitable for graduate non-statistics majors or advanced undergraduate statistics majors. Includes case studies with real data. Offers material on R at the end of each chapter. Provides a solutions manual.