Michael Smithson

Broschiertes Buch

Confidence Intervals

Beschreibung

Introduces the basis of the confidence interval framework and provides the criteria for 'best' confidence intervals, along with the trade-offs between confidence and precision. This book covers topics such as the transformation principle, confidence intervals, and the relationship between confidence interval and significance testing frameworks.

Autor

Michael Smithson is a Professor in the Research School of Psychology at The Australian National University in Canberra, and received his PhD from the University of Oregon. He is the author of Confidence Intervals (2003), Statistics with Confidence (2000), Ignorance and Uncertainty (1989), and Fuzzy Set Analysis for the Behavioral and Social Sciences (1987), co-author of Fuzzy Set Theory: Applications in the Social Sciences (2006) and Generalized Linear Models for Categorical and Limited Dependent Variables (2014), and co-editor of Uncertainty and Risk: Multidisciplinary Perspectives (2008) and Resolving Social Dilemmas: Dynamic, Structural, and Intergroup Aspects (1999). His other publications include more than 170 refereed journal articles and book chapters. His primary research interests are in judgment and decision making under ignorance and uncertainty, statistical methods for the social sciences, and applications of fuzzy set theory to the social sciences.

Produktdetails

• Quantitative Applications in the Social Sciences
• Verlag: SAGE Publications Inc
• Seitenzahl: 100
• Erscheinungstermin: 12. November 2002
• Englisch
• Abmessung: 216mm x 140mm x 6mm
• Gewicht: 128g
• ISBN-13: 9780761924999
• ISBN-10: 076192499X
• Artikelnr.: 22374467