Results 81 to 90 of about 19,296,908 (351)
Likelihood inference for small variance components
In this paper, we develop likelihood-based methods for making inferences about the components of variance in a general normal mixed linear model. In particular, we use local asymptotic approximations to construct confidence intervals for the components ...
Stern, S.E., Welsh, A.H.
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Empirical likelihood inference for the Rao-Hartley-Cochran sampling design
The Hartley-Rao-Cochran sampling design is an unequal probability sampling design which can be used to select samples from finite populations. We propose to adjust the empirical likelihood approach for the Hartley-Rao-Cochran sampling design.
Yves G. Berger, Berger, Yves G.
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ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source
The optimal variant and modification of quasi-optimal target bearing estimation algorithms in a survey two-coordinate radar station with a spatial interference compensation subsystem are substantiated.
S. V. Kozlov, Vu. Thanh Ha
doaj
Optimal distribution-free concentration for the log-likelihood function of Bernoulli variables
This paper aims to establish distribution-free concentration inequalities for the log-likelihood function of Bernoulli variables, which means that the tail bounds are independent of the parameters.
Zhonggui Ren
doaj +1 more source
Bayesian Synthetic Likelihood [PDF]
Having the ability to work with complex models can be highly beneficial. However, complex models often have intractable likelihoods, so methods that involve evaluation of the likelihood function are infeasible.
Leah Price +3 more
semanticscholar +1 more source
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
On the Nuisance Parameter Elimination Principle in Hypothesis Testing
The Non-Informative Nuisance Parameter Principle concerns the problem of how inferences about a parameter of interest should be made in the presence of nuisance parameters. The principle is examined in the context of the hypothesis testing problem.
Andrés Felipe Flórez Rivera +3 more
doaj +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Parameter Estimation in Semi-Linear Models Using a Maximal Invariant Likelihood Function [PDF]
In this paper, we consider the problem of estimation of semi-linear regression models. Using invariance arguments, Bhowmik and King (2001) have derived the probability density functions of the maximal invariant statistic for the nonlinear component of ...
Jahar L. Bhowmik, Maxwell L. King
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