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Likelihood decision functions [PDF]
, 2012 In both classical and Bayesian approaches, statistical inference is unified and generalized by the corresponding decision theory. This is not the case for the likelihood approach to statistical inference, in spite of the manifest success of the ...
Cattaneo, Marco E. G. V.
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Profile likelihood for identifiability analysis.
, 2023 (A) Illustrative profile likelihood as blue solid line for an identifiable parameter. For analyses of the identifiability status, the intersection with statistical threshold value (red line) at is crucial.
Bernhard Steiert (315824) +3 more
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Multiplicative-Binomial Distribution: Some Results on Characterization, Inference and Random Data Generation [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 Multiplicative-binomial distribution is one of the distributions that allows for over-dispersion and under-dispersion relative to the standard binomial distribution.
Elsayed A.H. Elamir
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How to use χ2 test correctly——the likelihood ratio test and the implementation of SAS software
Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the likelihood ratio test and the SAS implementation. Specifically， three definitions of the likelihood ratio test statistics and six more commonly used likelihood ratio test statistics were introduced.
Hu Chunyan, Hu Liangping
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Likelihood-based Imprecise Regression [PDF]
, 2011 We introduce a new approach to regression with imprecisely observed data, combining likelihood inference with ideas from imprecise probability theory, and thereby taking different kinds of uncertainty into account.
Marco E. G. V. Cattaneo +4 more
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Journal of Applied Mathematics, 2022 Numerical computation of maximum likelihood estimates (MLE) is one of the most common problems encountered in applied statistics. Even if there exist many algorithms considered as performing, they can suffer in some cases for one or many of the following
Issa Cherif Geraldo
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Approximate Profile Maximum Likelihood
J. Mach. Learn. Res., 2017 We propose an efficient algorithm for approximate computation of the profile maximum likelihood (PML), a variant of maximum likelihood maximizing the probability of observing a sufficient statistic rather than the empirical sample. The PML has appealing theoretical properties, but is difficult to compute exactly.
Dmitri S. Pavlichin +2 more
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Modified Profile Likelihood Estimation in the Lomax Distribution [PDF]
, 2022 In this paper, we consider improving maximum likelihood inference for the scale parameter of the Lomax distribution. The improvement is based on using modifications to the maximum likelihood estimator based on the Barndorff-Nielsen modification of the ...
Baklizi, Ayman, Sewailem, Maisoun
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On the estimation of the structure parameter of a normal distribution of order p
Statistica, 2007 In this paper we compare four different approaches to estimate the structure parameter of a normal distribution of order p (often called exponential power distribution).
Angelo M. Mineo
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Profile likelihood function for food expenditure data.
, 2023 Profile likelihood function for food expenditure data.
Aisha Fayomi (12666894) +2 more
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