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Donald Bamber
Researcher at United States Department of Veterans Affairs
Publications - 15
Citations - 1896
Donald Bamber is an academic researcher from United States Department of Veterans Affairs. The author has contributed to research in topics: Identifiability & Jacobian matrix and determinant. The author has an hindex of 7, co-authored 13 publications receiving 1794 citations. Previous affiliations of Donald Bamber include Veterans Health Administration.
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The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
TL;DR: In this article, receiver operating characteristic graphs are shown to be a variant form of ordinal dominance graphs, and several different methods of constructing confidence intervals for the area measure are presented and the strengths and weaknesses of each of these methods are discussed.
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State-trace analysis: A method of testing simple theories of causation
TL;DR: State traces are a generalization of the yes-no receiver-operating-characteristic curve as mentioned in this paper, which plots the value of one dependent variable as a function of another.
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How many parameters can a model have and still be testable
TL;DR: In this article, the rank of the Jacobian matrix of a model is defined as a measure of the probability that a model's predictions have zero probability of being correct by chance.
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Cognitive psychometrics: assessing storage and retrieval deficits in special populations with multinomial processing tree models.
TL;DR: This article demonstrates how multinomial processing tree models can be used as assessment tools to measure cognitive deficits in clinical populations with a model developed by W. H. Batchelder and D. Riefer (1980) that separately measures storage and retrieval processes in memory.
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How to assess a model's testability and identifiability
TL;DR: The quantitative testability and identifiability of linear models and of discrete-state models are analyzed and various rules of thumb for nonredundant models are examined.