Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This…
Updated and expanded edition of a text for graduate and advanced undergraduate students of applied statistics. Differs most conspicuously from the 1983 edition in that exercises can now be found at the end of each of the fifteen chapters.
Updated and expanded edition of a text for graduate and advanced undergraduate students of applied statistics. Differs most conspicuously from the 1983 edition in that exercises can now be found at the end of each of the fifteen chapters.
An exploration of the many different bootstrap techniques. It discusses useful statistical techniques through real data examples and covers nonparametric regression, density estimation, classification trees, and least median squares regression. There are numerous exercises.
Since the publication of the first edition of "Empirical Bayes methods" in 1970, there have been many contributions to the theory known as the empirical Bayes approach. This book collects and presents practical examples of the application of empirical Bayes ideas and techniques.
This textbook is intended for undergraduates who are carrying out laboratory experiments in the physical sciences for the first time. It is a practical guide on how to analyze data and estimate errors. The necessary formulas for performing calculations are given, and the ideas b…
This guide identifies and addresses the areas where most students need help with basic statistics problems that occur in everyday life and academic study and provides straightsfoward, practical tips and solutions that will enable you to assess and then improve your performance. …
"This book is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of statistical data. By providing insights on relevant topics, such as inference, factor analysis, and linear regression"--Pro…
Since the publication of the first edition of "Empirical Bayes methods" in 1970, there have been many contributions to the theory known as the empirical Bayes approach. This book collects and presents practical examples of the application of empirical Bayes ideas and techniques.
Concise and innovative book that gives a complete presentation of applied regression analysis in approximately one-half the space of competing books. With only the modest prerequisite of a basic (non-calculus) statistics course, this text is appropriate for the widest possible a…