Statistical Theory & Methods

A First Course in the Design of Experiments: A Linear Models Approach presents theory and methods, emphasizes both design selection and the analysis of data, and integrates the analysis for the various designs with the general theory for linear models. The authors introduce the subject, then cover t..

A popular and efficient tool to analyze grouped data of a certain event, APC analysis is used in a range of application areas, including public health, social science, demography, and economics. This book first describes the basic graphic presentation and modeling of APC data using R. Taking a more ..

This book addresses the development, evaluation, and application of models of absolute risk- the probability of developing a specific disease over a specified time interval in the presence of competing causes of mortality. It discusses the development of appropriate statistical methods for estimatin..

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members. What are current best practices in ASD? Is ASD worthwhile when the same auxiliary data are employed in the estimation afterwards? In this book, the authors provide ..

After a review of the usual measures, including specificity, sensitivity, positive predictive value, negative predictive value, and the area under the ROC curve, this book expands its scope to cover the more advanced topics of verification bias, diagnostic tests with imperfect gold standards, and me..

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework for statistical modelling, with an emphasis on numerical and graphical methods. This new edition of a bestseller has been updated with new sections on non-linear associations, strategies for model selection, a..

An Introduction to the Bootstrap arms scientists, engineers, and statisticians with the computational techniques they need to analyze and understand complicated data sets. The bootstrap is a computer-based method of statistical inference that answers statistical questions without formulas and gives ..

Analysis of Binary Data..

Analysis of Failure and Survival Data is an essential textbook for students of survival analysis and reliability. It integrates the use of contemporary statistical software output throughout the text along with a variety of real data sets so readers can see how theories and techniques are applied. I..

Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. The authors of this book take a unique approach to the analysis of covariance. Looking at a..

Analysis of Quantal Response Data..

Analysis of Repeated Measures..