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 nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using ...
Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help ...
On the night of the 2000 presidential election, Americans sat riveted in front of their televisions as polling results divided the nation's map into red and blue states. Since then the color divide has become a symbol of a culture war that thrives on stereotypes - pickup-driving red-state Republicans who vote based on God, guns, and gays; and ...
Incorporating new and updated information, this second edition of the bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analysis from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and ...
Social scientists become experts in their own disciplines but aren't always familiar with what is going on in neighboring fields. To foster a deeper understanding of the interconnection of the social sciences, economists should know where historical data come from, sociologists should know how to think like economists, political scientists would ...
This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. It covers new research topics and real world examples which do not feature in many standard texts. The book is dedicated to Professor Don ...
This text describes how to conceptualize, perform and criticise statistical analysis from a Bayesian perspective, using real examples largely from the authors' own experiences. It should be of interest to undergraduates and graduates of statistics, mathematics, biostatistics, quantitative researchers in economics, education, political science, and ...
The 6th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University in October, 2001. This volume contains the invited case studies with the accompanying discussion as well as contributed papers selected by a refereeing process.
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The Essence of Multivariate Thinking: Basic Themes and Methods
