Application of confidence intervals and joint confidence regions to the estimation of psychometric functions
نویسندگان
چکیده
منابع مشابه
Joint Confidence Regions
Confidence intervals are one of the most important topics in mathematical statistics which are related to statistical hypothesis tests. In a confidence interval, the aim is that to find a random interval that coverage the unknown parameter with high probability. Confidence intervals and its different forms have been extensively discussed in standard statistical books. Since the most of stati...
متن کاملConfidence intervals for the parameters of psychometric functions.
A Monte Carlo method for computing the bias and standard deviation of estimates of the parameters of a psychometric function such as the Weibull/Quick is described. The method, based on Efron's parametric bootstrap, can also be used to estimate confidence intervals for these parameters. The method's ability to predict bias, standard deviation, and confidence intervals is evaluated in two ways. ...
متن کاملConfidence intervals for the parameters of psychometric functions LAURENCE
A Monte Carlo method for computing the bias and standard deviation of estimates of the parameters of a psychometric function such as the WeibulllQuick is described. The method, based on Efron's parametric bootstrap, can also be used to estimate confidence intervals for these parameters. The method's ability to predict bias, standard deviation, and confidence intervals is evaluated in two ways. ...
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Parameter estimation without confidence intervals?
We greatly appreciate the comments contributed by one of the peer reviewers. Apparently, his comments have clearly sorted out the limitations our article involves. We recognize all the limitations and still, we believe the Diagnosis Procedure Combination (DPC) system in Japan is worth being aware of as a novel medical database in Asia. As for the first point, the DPC database only involves 65.1...
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1995
ISSN: 0001-4966
DOI: 10.1121/1.411572