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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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Bartlett corrections to likelihood ratio tests
Biometrika, 1995SUMMARY This note resolves two conflicting published corrections to Hayakawa's (1977) expansion of the likelihood ratio statistic, one of which suggests that a coefficient in the expansion is always zero and therefore irrelevant, the other suggesting that the formula for the coefficient is in error and that the coefficient should not be present.
Chesher, AD, Smith, RJ
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2011
The sensitivity of the chi-square test (Chap. 11) and the odds ratio test (Chap. 12) for testing cross-tabs is limited, and not entirely accurate if the values in one or more cells is smaller than 5. The log likelihood ratio test is an adequate alternative with generally better sensitivity, and, so, it must be absolutely recommended.
Ton J. Cleophas, Aeilko H. Zwinderman
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The sensitivity of the chi-square test (Chap. 11) and the odds ratio test (Chap. 12) for testing cross-tabs is limited, and not entirely accurate if the values in one or more cells is smaller than 5. The log likelihood ratio test is an adequate alternative with generally better sensitivity, and, so, it must be absolutely recommended.
Ton J. Cleophas, Aeilko H. Zwinderman
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Likelihood‐Ratio Tests for Hidden Markov Models
Biometrics, 2000Summary.We consider hidden Markov models as a versatile class of models for weakly dependent random phenomena. The topic of the present paper is likelihood‐ratio testing for hidden Markov models, and we show that, under appropriate conditions, the standard asymptotic theory of likelihood‐ratio tests is valid. Such tests are crucial in the specification
GIUDICI, PAOLO STEFANO +2 more
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Screening tests: likelihood ratios
BMJ, 2011The accuracy of asking patients two questions as a screening tool for depression in primary care was assessed.1 The questions focused on depression and pleasure within the past month. Consecutive patients not taking psychotropic drugs who attended their general practice were invited to participate, of whom 421 agreed.
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A nonparametric likelihood ratio test
Journal of Statistical Computation and Simulation, 1983The likelihood ratio principle is employed to develop a nonparametric test for testing stochastic ordering as a null hypothesis. This test is also adapted for testing equality of distributions against one-sided stochastic ordering alternatives. Power studies indicate this test compares favorably with the Kolmogorov-Smirnov and Mann-Whitney-Wilcoxon in ...
Richard L. Dykstara +2 more
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Robust properties of likelihood ratio tests
Biometrika, 1982SUMMARY The usual asymptotic chi-squared distribution for the likelihood ratio test statistic is based on the assumptions that the data come from the parametric model under consideration and that the parameter satisfies the null hypothesis. In this paper we examine the distribution of the likelihood ratio statistic when the data do not come from the ...
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Likelihood ratio and associated test criteria
Biometrika, 1971SUMMARY A more accurate approximation is derived for the power function of the likelihood ratio criterion for testing a simple null hypothesis against a class of composite alternative hypotheses. Two rival test statistics suggested by Rao (1965) and asymptotically equivalent to the likelihood ratio procedure are examined and approximations are obtained
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Likelihood-ratio tests for normality
Computational Statistics & Data Analysis, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Jin, Wu, Yuehua
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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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