Anthony S Bryk Reihenfolge der Bücher (Chronologisch)

"Long after the extinction of dinosaurs, when humans were still in the Stone Age, woolly rhinos, mammoths, mastodons, sabertooth cats, giant ground sloths, and many other spectacular large animals roamed the Earth. In Vanished Giants, paleontologist Anthony J. Stuart explores the lives and environments of these Ice Age animals, moving between six continents and several key islands. Stuart examines the animals themselves via what we've learned from fossil remains, and he describes the landscapes, climates, vegetation, ecological interactions, and other aspects of the animals' existence. Illustrated throughout, Vanished Giants also offers a picture of the world as it was tens of thousands of years ago when these giants still existed -- and, drawing on the latest evidence provided by radiocarbon dating, of how that world may have ended. Linking the extinction of Ice Age megafauna to the beginning of the so-called Sixth Extinction, Vanished Giants has important implications for understanding the likely fate of present-day animals in the face of contemporary climate change and vastly increasing human populations."--Back cover

This first-class resource addresses crucial areas in applied statistics, featuring widely applicable methods and high-quality exposition. The new chapters (10-14) enhance its value for research and instruction by covering models for discrete level-1 outcomes, non-nested level-2 units, incomplete data, and measurement error—essential topics in contemporary social statistics. Written clearly and supported by engaging examples, this expanded edition is particularly beneficial for advanced graduate students and social researchers. Chapter 11 showcases the versatility of mixed models with the EM algorithm, offering new insights and practical solutions to common research challenges. The book is reorganized into four parts, with significant expansions and clarifications. Part I discusses the logic of hierarchical linear modeling, while Part II focuses on basic applications, including an intuitive summary of estimation and inference procedures, multivariate growth models, and research synthesis applications. Part III introduces diverse outcome types, with Chapter 10 exploring hierarchical models for binary outcomes, counted data, ordered categories, and multinomial outcomes. Chapter 11 delves into latent variable models and missing data, while Chapter 13 presents Bayesian inference logic applied to hierarchical data. Part IV concludes with statistical theory and computations, covering univariate models, multivariate linear models, a