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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Sequential state theory: an analysis of signal detection data yielding measurements of observer attention to relevant information

Thomas, Evan Donaldson, 1950- January 1976 (has links)
No description available.

Selective attention, order judgement and the prior entry hypothesis / [by] Peter T. Cairney

Cairney, Peter Thomson January 1974 (has links)
vii, 200 leaves : ill. ; 29 cm / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Thesis (Ph.D.)--University of Adelaide, Dept. of Psychology, 1975

Selective attention, order judgement and the prior entry hypothesis /

Cairney, Peter Thomson. January 1974 (has links) (PDF)
Thesis (Ph.D.) -- University of Adelaide, Dept. of Psychology, 1975.

Decision processes in a signal detection situation /

Johnson, Ruby Margaret. January 1971 (has links) (PDF)
Thesis (B.A. (Hons.))-- University of Adelaide, Dept. of Psychology, 1972.

A signal-detection-based investigation into the nature of recognition memory

Mickes, Laura Beth. January 2010 (has links)
Thesis (Ph. D.)--University of California, San Diego, 2010. / Title from first page of PDF file (viewed March 10, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 138-144).

Cortical evoked responses and detection efficiency in man.

Isgur, Jay 01 January 1969 (has links) (PDF)
No description available.


BORGSTROM, MARK CRAIG. January 1987 (has links)
When studying detection systems, parameters associated with the Receiver Operating Characteristic (ROC) curve are often estimated to assess system performance. In some applied settings it is often not possible to test the detection system with large numbers of stimuli. The resulting small sample statistics many have undesirable properties. The characteristics of these small sample ROC estimators were examined in a Monte Carlo simulation. Three popular ROC parameters were chosen for study. One of the parameters was a single parameter index of system performance, Area under the ROC curve. The other parameters, ROC intercept and slope, were considered as a pair. ROC intercept and slope were varied along with sample size and points on the certainty rating scale to form a four way factorial design. Several types of estimators were examined. For the parameter, Area under the curve, Maximum Likelihood (ML), three types of Least Squares (LS), and Distribution Free (DF) estimators were considered. Except for the DF estimator, the same estimators were considered for the parameters, intercept and slope. These estimators were compared with respect to three characteristics: bias, efficiency, and consistency. For Area under the curve, the ML estimator was the least biased. The DF estimator was the most efficient, and all the estimators except the DF estimator appeared to be consistent. For intercept and slope the LS estimator that minimized vertical error of the points from the ROC curve (line) was the least biased for both estimators. This LS estimator was also the most efficient. This estimator along with the ML estimator also appeared to be the most consistent. The other two estimators had no significant trend toward consistency. These results along with other findings, illustrate that different estimators may be "best" for different sample sizes and for different parameters. Therefore, researchers should carefully consider the characteristics of ROC estimators before using them as indices of system performance.


Fobes, James L. January 1975 (has links)
No description available.

A signal-detectability analysis of rating extremity

Curtis, Ronald Benson, 1933- January 1967 (has links)
No description available.

Choice reaction time and signal detection analysis of detection, identification, and classification tasks

Brown, Charles Marlin 05 1900 (has links)
No description available.

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