Results 31 to 40 of about 231,507 (192)

Statistical Information and Uncertainty: A Critique of Applications in Experimental Psychology

open access: yesEntropy, 2010
This paper presents, first, a formal exploration of the relationships between information (statistically defined), statistical hypothesis testing, the use of hypothesis testing in reverse as an investigative tool, channel capacity in a communication ...
Donald Laming
doaj   +1 more source

Reachability Matrix and Bayes' Theorem Based Fault Section Location of Power Distribution Network with Distributed Generation

open access: yesZhongguo dianli, 2021
With the distributed generation connected to the power distribution network, the current becomes a bidirectional flow, which results in the traditional fault location method no longer applicable. In order to solve the problem of fault section location in
Weizhang WANG, Chun WANG, Fagen YIN
doaj   +1 more source

Horizon Mass Theorem [PDF]

open access: yesInt.J.Mod.Phys. D14 (2005) 2219-2226, 2005
A new theorem for black holes is found. It is called the horizon mass theorem. The horizon mass is the mass which cannot escape from the horizon of a black hole. For all black holes: neutral, charged or rotating, the horizon mass is always twice the irreducible mass observed at infinity. Previous theorems on black holes are: 1. the singularity theorem,
arxiv   +1 more source

Mini-combined test compared with NICE guidelines for early risk-assessment for pre-eclampsia: the SPREE diagnostic accuracy study

open access: yesEfficacy and Mechanism Evaluation, 2020
Background: The traditional method of risk assessment for pre-eclampsia recommended by the National Institute for Health and Care Excellence is based on maternal factors and it recommends that high-risk women should be treated with aspirin.
Liona C Poon   +5 more
doaj   +1 more source

Assessing the measurement uncertainty of qualitative analysis in the clinical laboratory

open access: yesJournal of Laboratory Medicine, 2020
Measurement uncertainty is a parameter that is associated with the dispersion of measurements. Assessment of the measurement uncertainty is recommended in qualitative analyses in clinical laboratories; however, the measurement uncertainty of qualitative ...
Lim Yong Kwan   +3 more
doaj   +1 more source

Quantitative assessment of thenar to evaluate hand function after stroke by Bayes discriminant

open access: yesBMC Musculoskeletal Disorders, 2023
Background The incidence rate of stroke or cerebrovascular accidents ranks first in China. More than 85% of stroke patients have residual upper limb motor dysfunction, especially hand dysfunction.
Rui Li   +10 more
doaj   +1 more source

The shocking implications of Bayes’ theorem for diagnosing herniated nucleus pulposus based on MRI scans

open access: yesCogent Medicine, 2016
We obtain the input data for Bayes Theorem, and use the theorem to determine the probability of a patient having a lumbar HNP, given only a positive MRI.
David Trafimow, Jordan H. Trafimow
doaj   +1 more source

Is the observed lowering of intraocular pressure due to treatment?

open access: yesIndian Journal of Ophthalmology, 2013
Objective: Use Bayes′ theorem to estimate the intraocular pressure (IOP) lowering effect of medical treatment initiated for glaucoma and determine if IOP comparisons to the baseline IOP of the same eye is clinically useful.
Ravi Thomas, Kerrie Mengersen
doaj   +1 more source

Probability of sporadic lymphangioleiomyomatosis in women presenting with spontaneous pneumothorax

open access: yesOrphanet Journal of Rare Diseases, 2023
Background Sporadic lymphangioleiomyomatosis (S-LAM) is a rare low-grade neoplasm of young women characterized by multiple pulmonary cysts leading to progressive dyspnea and recurrent spontaneous pneumothorax (SP).
Audrey Suter   +4 more
doaj   +1 more source

STEM-Based Bayesian Computational Learning Model-BCLM for Effective Learning of Bayesian Statistics

open access: yesIEEE Access
This work contributes to the comprehension of Bayes’ theorem inclusive Bayesian probabilities and Bayesian inferencing within the framework of STEM (Science, Technology, Engineering, Arts, and Mathematics) and cognitive learning w.r.t Bloom’
Ikram E. Khuda   +2 more
doaj   +1 more source

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