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The Dual of the Maximum Likelihood Method [PDF]
SSRN Electronic Journal, 2012 The Maximum Likelihood method estimates the parameter values of a statistical model that maximize the corresponding likelihood function, given the sample information. This is the primal approach that, in this paper, is presented as a mathematical programming specification whose solution requires the formulation of a Lagrange problem.
Paris, Quirino, Paris, Quirino
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Maximum kernel likelihood estimation [PDF]
, 2008 We introduce an estimator for the population mean based on maximizing likelihoods formed by parameterizing a kernel density estimate. Due to these origins, we have dubbed the estimator the maximum kernel likelihood estimate (mkle). A speedy computational
Jaki, Thomas, West, R. Webster
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PSMIX: an R package for population structure inference via maximum likelihood method
BMC Bioinformatics, 2006 Background Inference of population stratification and individual admixture from genetic markers is an integrative part of a study in diverse situations, such as association mapping and evolutionary studies.
Zhao Hongyu, Liu Nianjun, Wu Baolin
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin +2 more
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018 Students are part of the community who have an income. The income of students are pocket money, scholarships, part-time jobs and so forth. They are trying to become trendsetter in get dress and .
Dwi Masrokhah +2 more
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Application of Newton Raphson Algorithm as a Numerical Method in Maximum Likelihood Estimation [PDF]
تصمیم گیری و تحقیق در عملیات, 2019 Newton's method, which is also known as the Newton Raphson algorithm, as one of the most efficient numerical methods in mathematics, is known as a method and approach for the root approximation of nonlinear equations.
Abbas Parchami +2 more
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A NONPARAMETRIC SIMULATED MAXIMUM LIKELIHOOD ESTIMATION METHOD [PDF]
Econometric Theory, 2004 Summary: Existing simulation-based estimation methods are either general purpose but asymptotically inefficient or asymptotically efficient but only suitable for restricted classes of models. This paper studies a simulated maximum likelihood method that rests on estimating the likelihood nonparametrically on a simulated sample.
Jean-David Fermanian, Bernard Salanié
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FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
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Tikrit Journal of Administrative and Economic Sciences, 2020 By this research we will deal with the Generalized Goel- okumoto model parameters, since this model contains three parameters (α, β, ), that represents the time-rate function of the heterogeneous Poisson's processes, the parameters of this model will be ...
Ali Mohammed Ali Chichan
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Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
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