Higher order scrambled digital nets achieve the optimal rate of the root mean square error for smooth integrands [PDF]
, 2010 We study a random sampling technique to approximate integrals $\int_{[0,1]^s}f(\mathbf{x})\,\mathrm{d}\mathbf{x}$ by averaging the function at some sampling points.
J. Dick
semanticscholar +3 more sources
A Comparison of Root Mean Square Errors on Skeletonization Methods [PDF]
International Journal of Applied Physics and Mathematics, 2012 Vectorization is the most fundamental operation in interpretation of line drawings and document analysis. There are several reasons for converting image vectorization. Vector data is normally created from existing natural source image like photographs, scanned images.
Neeti Daryal, Vinod Kumar
semanticscholar +2 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 ...
Carolina Reyes +3 more
semanticscholar +3 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, C. Wen
semanticscholar +3 more sources
Analysis of S-box in Image Encryption Using Root Mean Square Error Method
Zeitschrift für Naturforschung A, 2012 The use of substitution boxes (S-boxes) in encryption applications has proven to be an effective nonlinear component in creating confusion and randomness.
I. Hussain +3 more
semanticscholar +2 more sources
A novel extended Gumbel Type II model with statistical inference and Covid-19 applications
Results in Physics, 2022 Statistical models play an important role in data analysis, and statisticians are constantly looking for new or relatively new statistical models to fit data sets across a wide range of fields.
Showkat Ahmad Lone +3 more
doaj +1 more source
Theoretical Structure and Applications of a Newly Enhanced Gumbel Type II Model
Mathematics, 2023 Statistical models are vital in data analysis, and researchers are always on the search for potential or the latest statistical models to fit data sets in a variety of domains. To create an improved statistical model, we used a T-X transformation and the
Showkat Ahmad Lone +5 more
doaj +1 more source
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
Yunhang Yin +2 more
semanticscholar +1 more source
Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing [PDF]
, 2021 Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in ...
A. Rahman, Nur H. +5 more
core +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