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The Akaike Likelihood Ratio Index
Transportation Science, 1986In 1983, Horowitz proposed the use of an adjusted likelihood ratio index to select between alternative models. We define an alternative index based on the Akaike Information Criterion. The two indices incorporate different degrees-of-freedom corrections to the same measure of goodness-of-fit. The Akaike index favors more parsimonious models.
Moshe E. Ben-Akiva, Joffre Swait
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Likelihood-ratio tests for normality
Computational Statistics & Data Analysis, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jin Zhang, Yuehua Wu
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Clinical Utility of Likelihood Ratios
Annals of Emergency Medicine, 1998Test-performance characteristics can be derived from a simple 2x2 table displaying the dichotomous relationship between a positive or negative test result and the presence or absence of a target disorder. Sensitivity and specificity, including a summary display of their reciprocal relationship as a receiver operating characteristics curve, are ...
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On the Behavior of the Likelihood Ratio of Semimartingales
Theory of Probability & Its Applications, 1985The behaviour of the likelihood ratio for the observations, which are semimartingales, when the time of observation tends to \(\infty\) is investigated. Conditions for locally asymptotically infinitely divisibility which generalises the notion of local asymptotic normality, are obtained.
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Repeated likelihood ratio tests
Biometrika, 1979SUMMARY We study the actual significance level which results from performing repeated likelihood ratio tests over time. We present a general method for estimating the actual significance level when sampling from an exponential family, and apply it to problems of testing hypotheses about means, variance, correlations and failure rates.
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The Likelihood Ratio and Diagnostic Tests
Annals of Internal Medicine, 1986Excerpt To the editor: Those of us who use probabilistic reasoning in our approaches to patient care welcome the series of articles introduced by Dr. Sox in the January issue (1).
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Generality of likelihood ratio decisions
Cognition, 2019A basic assumption of Signal Detection Theory - a special case of Bayesian Decision Theory - is that decisions are based on likelihood ratios (the likelihood ratio hypothesis). In a preceding paper, Glanzer et al. (2009) tested this assumption in recognition memory tasks.
Murray, Glanzer +3 more
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Likelihood Ratios for the Emergency Physician
Academic Emergency Medicine, 2018AbstractThe concept of likelihood ratios was introduced more than 40 years ago, yet this powerful metric has still not seen wider application or discussion in the medical decision‐making process. There is concern that clinicians‐in‐training are still being taught an oversimplified approach to diagnostic test performance and have limited exposure to ...
Paul, Peng, Andrew, Coyle
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Likelihood ratios for Gaussian processes
IEEE Transactions on Information Theory, 1970We give a comprehensive discussion of the structure of the likelihood ratio (LR) for discrimination between two Gaussian processes, one of which is white. Several more general problems can be reduced, usually by differentiation, to this form. We shall show that nonsingular detection problems of this form can always be interpreted as problems of the ...
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The likelihood ratio and the algebra of diagnosis
Journal of Chronic Diseases, 1967Abstract Some simple probability calculations are described, which are based upon the likelihood ratio parameter and may be useful in diagnosis. Just as it is useful to discuss the frequency of occurrence of a given finding in a given disease, so it is useful to discuss the likelihood ratio for that finding in the given disease. The latter is perhaps
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