Smithson first introduces the basis of the confidence interval framework and then provides the criteria for "best" confidence intervals, along with the trade-offs between confidence and precision. Next, using a reader-friendly style with lots of worked out examples from various disciplines, he covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated;...

This book introduces fuzzy set theory to social science researchers. Fuzzy sets are categories with blurred boundaries. With classical sets, objects are either in the set or not, but objects can belong partially to more than one fuzzy set at a time. Many concepts in the social sciences have this characteristic, and fuzzy set theory provides methods for systematically dealing with them. A primary reason for not going beyond programmatic statements and rather unsophisticated uses of fuzzy set theory has been the lack of practical methods for combining fuzzy set concepts with statistical...

This textbook offers an accessible and comprehensive introduction to statistics for all undergraduate psychology students, but particularly those in their second and third years who have already covered an initial introductory course. It covers all of the key areas in quantitative methods including sampling, significance tests, regression, and multivariate techniques and incorporates a range of exercises and problems at the end of each chapter for the student to follow. The free CD-ROM with tutorial modules complements and enhances the exercises in the text, offers scope for distance...

This textbook offers an accessible and comprehensive introduction to statistics for all undergraduate psychology students, but particularly those in their second and third years who have already covered an initial introductory course. It covers all of the key areas in quantitative methods including sampling, significance tests, regression, and multivariate techniques and incorporates a range of exercises and problems at the end of each chapter for the student to follow.

The free CD-ROM with tutorial modules complements and enhances the exercises in the text, offers scope for distance...

Uncertainty governs our lives. This title draws theoretical perspectives from art history, complexity science, economics, futures, history, law, philosophy, physics, psychology, statistics and theology. It examines uncertainty in emergency management, intelligence, law enforcement, music, policy and politics.

Uncertainty governs our lives. This title examines uncertainty in emergency management, intelligence, law enforcement, music, policy and politics. It focuses on key problems such as environmental management, communicable diseases and illicit drugs. It offers major conceptual strands in uncertainty thinking.

Ignorance and Uncertainty overviews a variety of approaches to the problem of indeterminacies in human thought and behavior. This book examines, in depth, trends in the psychology of judgment and decision-making under uncertainty or ignorance. Research from the fields of cognitive psychology, social psychology, organizational studies, sociology, and social anthroplogy are reviewed here in anticipation of what Dr. Smithson characterizes as the beginning of a "creative dialogue between these researchers." Ignorance and Uncertainty offers the conceptual framework for understanding...

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages.

The book provides broad, but unified, coverage, and the authors integrate the concepts and ideas shared across models and types of data, especially regarding conceptual links between discrete and continuous limited dependent variables. The...