Results 131 to 140 of about 28,224 (283)
Track-before-detect procedures for detection of extended object
In this article, we present a particle filter (PF)-based track-before-detect (PF TBD) procedure for detection of extended objects whose shape is modeled by an ellipse.
Fan Ling, Zhang Xiaoling, Shi Jun
doaj
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
Adjusted Empirical Likelihood Method in the Presence of Nuisance Parameters with Application to the Sharpe Ratio. [PDF]
Fu Y, Wang H, Wong A.
europepmc +1 more source
Testing for Non-Normality in the Presence of One-Sided Slope Parameters [PDF]
In a recent paper, Hughes (1999) showed that the power of tests of linear regression parameters could be improved by utilizing one-sided information regarding the nuisance parameters in the testing problem.
Anthony W. Hughes
core
From tetrachoric to kappa: How to assess reliability on binary scales
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley +1 more source
Residual head motion artifact in motion-corrected resting-state (rs-) functional MRI (fMRI) and fMRI datasets reduces the temporal signal-to-noise ratio and leaves non-neuronal signal components in the data, which can induce false findings in these ...
Wanyong Shin, Paul Taylor, Mark J. Lowe
doaj +1 more source
To vary or not to vary: A flexible empirical Bayes factor for testing variance components
Abstract Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random
Fabio Vieira, Hongwei Zhao, Joris Mulder
wiley +1 more source
Abstract Although full‐information maximum likelihood (FIML) estimation is widely used for diagnostic classification models (DCMs), its computational efficiency deteriorates sharply in high‐dimensional settings. This scalability challenge is increasingly critical as DCMs are applied to large‐scale assessments, psychological testing and longitudinal ...
Minho Lee, Yon Soo Suh
wiley +1 more source
Admissibility and linear sufficiency in linear model with nuisance parameters
Admissibility, BLUE, Linear sufficiency, Partitioned linear model, Nuisance parameters, Reduced model, 15A42, 62J05, 62F10, 62H12, 62H20,
Simo Puntanen, Augustyn Markiewicz
core +1 more source
Comparative Cantillon effects in the Canadian and Australian art markets
Abstract As far back as 1755, Richard Cantillon analyzed how changes in the money supply affected relative prices in the economy. In times of monetary infusion, prices of certain types of goods and services could be expected to rise, depending upon the initial distribution of the money and therefore initial spending.
Douglas J. Hodgson +2 more
wiley +1 more source

