Results 61 to 70 of about 44,901 (263)

Reliability Evaluation Method for Electricity Meters with Competitive Failures Under Arid High Temperature

open access: yesJournal of Harbin University of Science and Technology
How to carry out the research on the life and reliability of smart electricity meters (SEMs) with the help of typical environmental test bases is a hot and challenging issue in the current industry.
ZHANG Wei, LI Ning, CHEN Min, HE Shuai
doaj   +1 more source

Comparative Analysis of Choroid Plexus Volume Between MOG Antibody Associated Disease and Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Choroid plexus volume (CPV) has been proposed as a neuro‐immunological marker of multiple sclerosis (MS), but its relevance in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD) remains uncertain. We analyzed CPV in 43 individuals with MOGAD, 48 with MS, and 44 healthy controls using a Bayesian Gaussian mixture modeling ...
Jae‐Won Hyun   +4 more
wiley   +1 more source

Expected Bayesian estimation based on generalized progressive hybrid censored data for Burr-XII distribution with applications

open access: yesAIP Advances
In the Bayesian estimation method for the parameters of random distributions, the process of selecting hyperparameters for the prior distributions is one of the important and complex matters that determine the efficiency of the estimation.
M. Nagy
doaj   +1 more source

Bayes Estimates for the Linear Model

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1972
Summary The usual linear statistical model is reanalyzed using Bayesian methods and the concept of exchangeability. The general method is illustrated by applications to two-factor experimental designs and multiple regression.
Lindley, D. V., Smith, A. F. M.
openaire   +2 more sources

Frequentist standard errors of Bayes estimators [PDF]

open access: yesComputational Statistics, 2017
Frequentist standard errors are a measure of uncertainty of an estimator, and the basis for statistical inferences. Frequestist standard errors can also be derived for Bayes estimators. However, except in special cases, the computation of the standard error of Bayesian estimators requires bootstrapping, which in combination with Markov chain Monte ...
DongHyuk Lee   +2 more
openaire   +2 more sources

Evaluation of Dried Plasma Spot‐Based Quantification of Glial Fibrillary Acidic Protein as a Disease‐Associated Biomarker in Neuromyelitis Optica Spectrum Disorder

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab   +19 more
wiley   +1 more source

An empirical Bayes estimation problem [PDF]

open access: yesProceedings of the National Academy of Sciences, 1980
Let x be a random variable such that, given θ, x is Poisson with mean θ, while θ has an unknown prior distribution G . In many statistical problems one wants to estimate as accurately as possible the parameter
openaire   +2 more sources

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey   +8 more
wiley   +1 more source

Analysis of the Use of Background Distribution for Naive Bayes Classifiers

open access: yesJournal of Intelligent Systems, 2019
The naive Bayes classifier is a popular classifier, as it is easy to train, requires no cross-validation for parameter tuning, and can be easily extended due to its generative model. Moreover, recently it was shown that the word probabilities (background
Andrade Daniel   +2 more
doaj   +1 more source

Bayesian Estimation of the Exponential Parameter under a Multiply Type-II Censoring Scheme

open access: yesAustrian Journal of Statistics, 2016
This paper provides the estimation of the scale parameter of the exponential distribution under multiply type-II censoring. Using generalized non-informative prior and natural conjugate prior, Bayes estimator and approximate Bayes estimators of the scale
Umesh Singh, Anil Kumar
doaj   +1 more source

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