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Notes on likelihood intervals and profiling
Communications in Statistics - Theory and Methods, 2000In many applications, decisions are made on the basis of function of parameters g(θ). When the value of g(theta;) is calculated using estimated values for te parameters, its is important to have a measure of the uncertainty associated with that value of g(theta;).
Shannon L. Quinn +2 more
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The likelihood of Condorcet's profiles
2002International ...
Merlin, Vincent +2 more
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Adjusted Quasi-Profile Likelihoods and Robustness
2001An adjusted quasi-profile loglikelihood for a scalar parameter of interest is discussed. The corresponding quasi-profile score has bias which is asymptotically negligible. Because of this, it is likely to provide accurate inferences with small samples or many nuisance parameters. An application to robust M-estimation is presented, which gives rise to a
R. Bellio +2 more
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On Profile Likelihood: Rejoinder
Journal of the American Statistical Association, 2000S. A. Murphy, A. W. van der Vaart
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The modified profile likelihood function
2000Abstract In Chapter 8 it was shown that, in some cases, inference about a parameter of interest ψ may be based on a marginal or conditional likelihood function. Those methods are only available however when the model has a particular structure.
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A novel profile with high efficiency for hydrogen-circulating Roots pumps used in FCVs
International Journal of Hydrogen Energy, 2021Shuangmei Zhou +2 more
exaly
Within the twilight zone: a sensitive profile-profile comparison tool based on information theory
Journal of Molecular Biology, 2002Golan Yona, Michael Levitt
exaly
Multilevel Latent Profile Analysis With Covariates
Organizational Research Methods, 2018Anne Mäkikangas +2 more
exaly