Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to...

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using...

Developments in the Theory and Practice of Cybercartography―awarded an Honorable Mention in Earth Science at the Association of American Publishers' 2015 PROSE Awards―examines some of the recent developments in the theory and practice of cybercartography and the substantial changes which have taken place since the first...

Books on regression and the analysis of variance abound-many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from as well, all with...

• Explore the R language from basic types and data structures to advanced topics
• Learn how to tackle programming problems and explore both functional and object-oriented programming techniques
• Learn how to address the core problems of programming in R and leverage the most popular...

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This book provides the reader with an elementary introduction to chaos and fractals, suitable for students with a background in elementary algebra, without assuming prior coursework in calculus or physics. It introduces the key phenomena of chaos - aperiodicity, sensitive dependence on initial conditions, bifurcations - via simple iterated...