Results 131 to 140 of about 1,574,107 (185)

Likelihood Ratio Test

2020
In questo capitolo vengono proposti esercizi sulla teoria della verifica delle ipotesi (test d’ipotesi) a partire da un modello di campionamento casuale parametrico, in particolare: livello di un test d’ipotesi; errore di I tipo ed errore di II tipo; funzione potenza di un test d’ipotesi; costruzione di test d’ipotesi basati sulla statistica del ...
Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni   +2 more
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Paternity testing. 2: Likelihood ratio tests

American Journal of Medical Genetics, 1985
AbstractIt is known that the so‐called paternity index is also a likelihood ratio statistic for testing that an alleged father is the true father. Unfortunately the likelihood ratio test can sometimes lead to unsatisfactory results because of its dependence on the phenotype combinations of the mother and child. A new, conditional likelihood ratio test,
L, Kaiser, G A, Seber
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Repeated likelihood ratio tests

Biometrika, 1979
SUMMARY 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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Likelihood Ratio Test

2015
In the previous chapter, we have seen that UMP or UMP-unbiased tests exist only for some special families of distributions, while they do not exist for other families.
Pradip Kumar Sahu, Santi Ranjan Pal, Ajit Kumar Das   +2 more
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Bartlett corrections to likelihood ratio tests

Biometrika, 1995
SUMMARY 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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Log Likelihood Ratio Tests

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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Likelihood‐Ratio Tests for Hidden Markov Models

Biometrics, 2000
Summary.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, RYDEN T, VANDEKERKHOVE P.   +2 more
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Screening tests: likelihood ratios

BMJ, 2011
The 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, 1983
The 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, Richard W. Madsen, Kenneth Fairbanks   +2 more
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Robust properties of likelihood ratio tests

Biometrika, 1982
SUMMARY 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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