Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents

Grab your bucket and join the search for all the cool bugs outside! This fun rhyming story lists all the bugs you can imagine—creep bugs, climb bugs, sticky-slime bugs! Discover the vast world of insects in this photo-filled book.

Contains alphabetically arranged entries that provide photographs and information about insects, mites, and spiders commonly found in Texas, discussing the appearance, biology and life cycle, habitat, feeding habits, economic importance, and natural and organic control of each bug.

Enter the kingdom of bugs and their close relatives for a magical journey through the forest floor, down into the deepest caves, and even across the open ocean... Insects, arachnids, worms, and mollusks are crawling across the pages of this colorful bug book, which combines gorgeous illustrations and photos to help young animal enthusiasts spot and learn all the main bug groups. From dancing bees to cartwheeling spiders, from butterfly athletes to the beetles that eat poo, they'll learn all about the incredible secret world of creepy-crawlies. And they'll find out how bugs help to look after our planet too. The Book of Brilliant Bugs, written by insect expert Jess French and illustrated by Claire McElfatrick, takes children on a fascinating journey of exploration, showing them just how amazing creepy-crawlies are, what they do for our planet, and how we can help them. It includes bug relatives such as slimy slugs, web-spinning spiders, and scuttling centipedes, plus amazing facts on how bugs pass on messages, compete for food, seek true love, and fill the air with buzzing wings.

A collection of unusual facts, games, puzzles, activities, and artwork centering around the world of insects.

The Best Book of Bugs looks at the life cycles, habitats, and amazing diversity of insects and spiders in stunning close-up detail. This book has everything a young etymologist would ever want to know.

Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines. The book introduces regression models, techniques for criticism and comparison, and a wide range of modelling issues before going into the vital area of hierarchical models, one of the most common applications of Bayesian methods. It deals with essentials of modelling without getting bogged down in complexity. The book emphasises model criticism, model comparison, sensitivity analysis to alternative priors, and thoughtful choice of prior distributions—all those aspects of the "art" of modelling that are easily overlooked in more theoretical expositions. More pragmatic than ideological, the authors systematically work through the large range of "tricks" that reveal the real power of the BUGS software, for example, dealing with missing data, censoring, grouped data, prediction, ranking, parameter constraints, and so on. Many of the examples are biostatistical, but they do not require domain knowledge and are generalisable to a wide range of other application areas. Full code and data for examples, exercises, and some solutions can be found on the book’s website.