The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categ…
"A classic in its own right, this book continues to provide an introduction to modern generalized linear models for categorical variables. The text emphasizes methods that are most commonly used in practical application, such as classical inferences for two- and three-way contin…
Using multivariate statistics
by Tabachnick, Barbara G., Fidell, Linda S.
fromAlways learning
Dallas E. Johnson uses real-life examples to explain the when, why, how, and what of numerous multivariate methods, stressing the importance and practical applications of each method. The result? You come away with a practical understanding of and an ability to do multivariate a…
"Statistical inference is finding useful applications in numerous fields, from sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical inference under inequality constraints and to apply the…