Detection Theory: A User's Guide

MacMillan, Neil A. and C. Douglas Creelman:

ISBN 10: 0521363594 / ISBN 13: 9780521363594

Edité par Cambridge University Press, 1991

A propos de cet article

407 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann entsprechende Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.). Aufgrund des Alters und der häufigen Nutzung können Stabilität, Einband sowie Papierqualität beeinträchtigt sein. Das Buch hat einen Wasserschaden. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 750.

N° de réf. du vendeur 2165255

Détails bibliographiques

• Titre: Detection Theory: A User's Guide
• Éditeur: Cambridge University Press
• Date de parution: 1991
• Langue: anglais
• ISBN à 10 chiffres: 0521363594
• ISBN à 13 chiffres: 9780521363594
• Reliure: gebundene Ausgabe
• État de l'article: Gut
• Catalogues du vendeur:
  • 90 Varia

A propos de ce titre

Synopsis

Both a user's guide and a theoretical exposition of modern detection theory, incorporating recent developments and covering the two major alternative versions of detection theory.

Présentation de l'éditeur

Detection Theory is an introduction to one of the most important tools for analysis of data where choices must be made and performance is not perfect. Originally developed for evaluation of electronic detection, detection theory was adopted by psychologists as a way to understand sensory decision making, then embraced by students of human memory. It has since been utilized in areas as diverse as animal behavior and X-ray diagnosis.

This book covers the basic principles of detection theory, with separate initial chapters on measuring detection and evaluating decision criteria. Some other features include:
*complete tools for application, including flowcharts, tables, pointers, and software;
*student-friendly language;
*complete coverage of content area, including both one-dimensional and multidimensional models;
*separate, systematic coverage of sensitivity and response bias measurement;
*integrated treatment of threshold and nonparametric approaches;
*an organized, tutorial level introduction to multidimensional detection theory;
*popular discrimination paradigms presented as applications of multidimensional detection theory; and
*a new chapter on ideal observers and an updated chapter on adaptive threshold measurement.

This up-to-date summary of signal detection theory is both a self-contained reference work for users and a readable text for graduate students and other researchers learning the material either in courses or on their own.