Results 11 to 20 of about 6,896,512 (318)
Potential root mean square error skill score [PDF]
Journal of Renewable and Sustainable EnergyConsistency, in a narrow sense, denotes the alignment between the forecast-optimization strategy and the verification directive. The current recommended deterministic solar forecast verification practice is to report the skill score based on root mean ...
Martin János Mayer, Dazhi Yang
semanticscholar +5 more sources
Evaluation of the root mean square error performance of the PAST-Consensus algorithm
2010 International ITG Workshop on Smart Antennas (WSA), 2010 In previous work, we developed and investigated a distributed Projection Approximation Subspace Tracking Algo- rithm (PAST-Consensus) based on Consensus Propagation for wireless sensor networks. Preliminary simulation results showing a good tracking capability and still reduced complexity, have motivated us to evaluate the performance of the ...
Steffen Paul, Thibault Hilaire
exaly +4 more sources
Soundness and completeness of quantum root-mean-square errors [PDF]
npj Quantum Information, 2018 Defining and measuring the error of a measurement is one of the most fundamental activities in experimental science. However, quantum theory shows a peculiar difficulty in extending the classical notion of root-mean-square (rms) error to quantum ...
Masanao Ozawa
semanticscholar +5 more sources
Root mean square error (RMSE) or mean absolute error (MAE) [PDF]
, 2014 Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura(2005) have suggested that the RMSE is not a good indicator of average model performance and might be a ...
T. Chai, R. Draxler
semanticscholar +2 more sources
Colloquium: Quantum root-mean-square error and measurement uncertainty relations [PDF]
Reviews of Modern Physics, 2013 Recent years have witnessed a controversy over Heisenberg's famous error-disturbance relation. Here we resolve the conflict by way of an analysis of the possible conceptualizations of measurement error and disturbance in quantum mechanics. We discuss two
P. Busch, P. Lahti, R. Werner
semanticscholar +4 more sources
Convergence of Monte Carlo simulations involving the mean-reverting square root process [PDF]
, 2005 The mean-reverting square root process is a stochastic differential equation (SDE) that has found considerable use as a model for volatility, interest rate, and other financial quantities.
Mao, X., Mao, Xuerong, Higham, D.J.
core +4 more sources
Relationship between Root Mean Square Error and Probable Error
Journal of the Japan society of photogrammetry and remote sensing, 1994 The relationship between Root Mean Square (RMS) error and probable error was investigated under the condition of normal distribution with independent x, y and z error components. In the ideal case of no bias and equal standard deviations (in the case of two or three dimensions), the ratios of 90% probable error to RMS error are 1.645 (one dimensional ...
R. Tateishi, Cheng-Gang Wen
semanticscholar +3 more sources
The Effect of Model Size on the Root Mean Square Error of Approximation (RMSEA): The Nonnormal Case
Structural Equation Modeling: A Multidisciplinary Journal, 2022 This study aimed to understand the effect of model size on the root mean square error of approximation (RMSEA) under nonnormal data. We considered three methods for computing the sample RMSEA and the associated confidence intervals (CIs; i.e., the normal
Yun-Hang Yin, Dexin Shi, A. Fairchild
semanticscholar +1 more source
Research on Moisture Content Determination of Puffs using Near Infrared Spectroscopy Technology
Liang you shipin ke-ji, 2022 Rapid determination of moisture content is an important requirement to ensure the production quality of puffs. In this paper, the NIR spectra of 130 modeling samples and 30 validation samples were collected, using IAS Online-S100 Near Infrared ...
XU Fu-cheng +3 more
doaj +1 more source
Root-Mean-Square-Error (RMSE) of registration.
, 2022 RMSE of the point cloud registration, Eq (1), averaged over 10 different time frames and for all possible slab locations as functions of slab thickness for 1mm and 2.5mm slice thicknesses of moving slabs of scaphoid, capitate, and lunate.
Kevin M. Koch (10210935) +4 more
core +1 more source