Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of…
French environmental scientists Parent (National School of Rural Water and Forestry Engineering, Paris) and Rivot (Institute for Agronomic Research) walk colleagues through the first steps of statistical modeling and inference, particularly hierarchical Bayesian modeling, which …
French environmental scientists Parent (National School of Rural Water and Forestry Engineering, Paris) and Rivot (Institute for Agronomic Research) walk colleagues through the first steps of statistical modeling and inference, particularly hierarchical Bayesian modeling, which …
Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian Modeling for Ecological Data gives readers a flexible and effective framework to learn about complex ecological processes from various sources of…
Although numerous statistical methods for analyzing spatial point patterns have been available for several decades, they haven't been extensively applied in an ecological context. Addressing this gap, this book shows how the techniques of point-pattern analysis are useful for ta…
