The size or energy of diverse structures or phenomena in geoscience appears to follow
power law distributions. A rigorous statistical analysis of such observations is tricky, though …

Shales are a class of multiscale, multiphase, hybrid inorganic-organic composite materials
exhibiting both frictional and cohesive behavior, and it is very challenging to characterize …

Kernel smoothing has greatly evolved since its inception to become an essential
methodology in the data science tool kit for the 21st century. Its widespread adoption is due …

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 …

S is a powerful environment for the statistical and graphical analysis of data. It provides the
tools to implement many statistical ideas that have been made possible by the widespread …

The existence of high speed, inexpensive computing has made it easy to look at data in
ways that were once impossible. Where once a data analyst was forced to make restrictive …

Deep-sea microbial communities are exposed to high-pressure conditions, which has a
variable impact on prokaryotes depending on whether they are piezophilic (that is, pressure …

The focus of this book is primarily on the development of pharmacokinetic and
pharmacokinetic-pharmacodynamic models. Models that are reported in the literature are …

Computational statistics and statistical computing are two areas that employ computational,
graphical, and numerical approaches to solve statistical problems, making the versatile R …

The cost of statistical computing software has precluded many universities from installing
these valuable computational and analytical tools. R, a powerful open-source software …