This absorbing and surprising book measures and compares a huge variety of different subjects: the strongest animals, the biggest poopers and eaters, the amount of water in the oceans, the deadliest creatures and disasters, extreme journeys, altitudes and depths, the power of natural forces, and much, much more!

My First Book of Dinosaur Comparisons is the perfect gift for dinosaur-loving kids aged 5 and up. Exciting visual comparisons and fascinating facts help children measure and compare anything and everything about the dinosaurs. From heights, weights, diets, speed, features, and much more—this book covers and compares it all!

Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.

Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes’ test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey’s all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models. The last chapter reviews other multiple comparison procedures, such as resampling-based procedures, methods for group sequential or adaptive designs, and the combination of multiple comparison procedures with modeling techniques. Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. A self-contained introduction to multiple comparison procedures, this book offers strategies for constructing the procedures and illustrates the framework for multiple hypotheses testing in general parametric models. It is suitable for readers with R experience but limited knowledge of multiple comparison procedures and vice versa. See Dr. Bretz discuss the book.

This book attempts to answer two questions: Are alternatives for choice ever incomparable? and In what ways can items be compared? The arguments offered suggest that alternatives for choice no matter how different are never incomparable, and that the ways in which items can be compared are richer and more varied than commonly supposed.

Which weighs more, a pound of lead or a pound of feathers? How many ants does it take to steal a piece of cake? Life-size photos and a clever text explore concepts of size, measurement, time, and more. Are you curious about numbers, size, and how something small stacks up to something big, like the number of grains of sand that fill a bucket? Using life-size photographs, engaging gatefolds, and witty asides, Jorge Doneiger beautifully demonstrates relative size, along with quantitative information that answers questions about all kinds of creatures and objects. If you unraveled all the thread from a T-shirt, how many times would that thread wrap around a city block? How many balloons could you fill with the air you breathe in one day? How many flowers must a hive of bees visit to collect enough pollen to make a pound of honey? Is it possible to measure time in colors? Back matter offers additional facts on the subjects for curious readers.