Too much model, too little data: How a maximum-likelihood fit of a psychometric function may fail, and how to detect and avoid this
Maximum-likelihood estimation of the parameters of a psychometric function typically occurs through an iterative search for the maximum value in the likelihood function defined across the parameter space. This procedure is subject to failure. First, iterative search procedures may converge on a loca...
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| Format: | Article |
| Language: | English |
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Springer New York LLC
2019
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| Online Access: | View Fulltext in Publisher |