Results 111 to 120 of about 6,277,482 (253)
Small area estimation: new developments and directions
, 2002 The purpose of this paper is to provide a critical review of the main advances in small area estimation (SAE) methods in recent years. We also discuss some of the earlier developments, which serve as a necessary background for the new studies. The review
Pfeffermann, Danny
core +1 more source
Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova +9 more
wiley +1 more source
Another Look at Measures of Forecast Accuracy [PDF]
We discuss and compare measures of accuracy of univariate time series forecasts. The methods used in the M-competition and the M3-competition, and many of the measures recommended by previous authors on this topic, are found to be inadequate, and many of
Anne B. Koehler, Rob J. Hyndman
core
Group mean (± standard deviation) Pearson’s correlation coefficient (R) and root-mean-square-difference (RMSD, in degrees) of the m_IMU and r_IMU calculated knee kinematics compared to the OMC.
David G. Lloyd (292196) +8 more
core +1 more source
, 2018 The root-mean-square error (RMSE) for effect of cell distribution and cell lag on the model fit to experimental data (cells/cm2).
William B. Lott (206536) +2 more
core +1 more source
Bootstrap for estimating the mean squared error of the spatial EBLUP [PDF]
, 2007 This work assumes that the small area quantities of interest follow a Fay-Herriot model with spatially correlated random area effects. Under this model, parametric and nonparametric bootstrap procedures are proposed for estimating the mean squared ...
Pratesi, Monica +2 more
core +1 more source
Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park +5 more
wiley +1 more source
مجلة بغداد للعلومLoss functions are used for estimating the accuracy of the classification models in Machine Learning. The error loss value measures whether the predicted labels match the true labels or are close to them.
Bahera H. Nayef +2 more
doaj +1 more source
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
An Analytical Derivation of the Signal-in-Space Root-Mean-Square User Range Error
NavigationThe concept of the signal-in-space (SIS) root-mean-square (RMS) user range error (URE) is used to evaluate the performance of multiple global navigation satellite systems (GNSSs); however, a complete analytical derivation has not been published.
Brent Renfro +5 more
doaj +1 more source