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Organisational Practice in the job centre - Variance or Homogeneity?
Published 2015-04-01“…Statutory impact research Impact research (which is required by law) can reveal neither the actual daily interaction and communication processes occurring in the job centres, nor the concrete organisational practice which sets in either before or after the benefits processes. …”
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Spatiotemporal Variance Image Reconstruction for Thermographic Inspections
Published 2024-01-01“…To this end, this work proposes a novel image reconstruction technique for nonuniform excitation/heating and is referred to as spatiotemporal variance reconstruction (STVR). STVR utilizes the spatial and temporal variance of the surface thermal profile. …”
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On statistical parameters characterizing vibrations of damped oscillator forced by stochastic impulses
Published 2014-01-01Subjects: Get full text
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STATISTICAL PROCESSING OF THE METEOROLOGICAL DATA FOR CONCLUSION ON THE PRESENCE OF THE TIME TRENDS
Published 2020-03-01“…The technic of the processing of the meteorological data for conclusion on the presence of the time trends in the quantitative characteristics of the weather on the example of the analysis of the average yearly atmospheric temperature change at the meteorological station Minsk from 1989 is presented. …”
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The Effect of Process Parameters on Quality Characteristics in the Drilling of Aluminium–Metal Matrix Composites
Published 2023-12-01“…Present work focusses on investigating the effect of process parameters such as feed rate and spindle speed on quality characteristics of the hole, i.e., surface roughness (Ra) and circularity at entry and exit in the drilling of aluminium (Al) 6061 reinforced with different volume fraction of silicon nitride (Si<sub>3</sub>N<sub>4</sub>). …”
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Bayesian Approach for Confidence Intervals of Variance on the Normal Distribution
Published 2022-01-01“…The performance of these methods considers the coverage probability and minimum value of the average width. The Monte Carlo process simulates the data from a normal distribution with the true parameter of mean and several variances and the sample sizes. …”
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Evaluating downscaled products with expected hydroclimatic co-variances
Published 2024-12-01“…However, both techniques dampen future intensification of frontal precipitation that is otherwise robustly captured in global climate models (i.e., prior to downscaling) and with process-based dynamical downscaling across five different regional climate models. …”
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VICRA: Variance-Invariance-Covariance Regularization for Attack Prediction
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Statistical Properties of SIS Processes with Heterogeneous Nodal Recovery Rates in Networks
Published 2024-11-01“…We verify the proposed approximate solutions of the mean and variance via simulations. This work provides insights into the fluctuations in the statistical properties of epidemic processes with complex dynamical behaviors in networks.…”
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INFLUENCE OF THE ELECTRODE MATERIAL ON ELECTRICAL DISCHARGE MACHINING PROCESS PERFORMANCE
Published 2024-03-01“…The obtained results were statistically processed using the analysis of variance method, to identify the action model of the process control parameters in the perspective of obtaining superior productivity with minimal electrode wear.…”
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Adaptive Prediction of a Random Process Using a Sequential Regression Algorithm
Published 2020-01-01Subjects: “…random process…”
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Monitorization of Cleaning Processes from Digital Video Spatiotemporal Analysis: Cleaning Kinetics from Characteristic Times
Published 2025-03-01“…As a kinetic parameter, the duration of the cleaning of a metallic surface is defined from the time evolution of the color intensities and their variance. These times allow us to characterize and to optimize the cleaning process procedure. …”
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Color protection and enzymatic process optimization of anthocyanin-rich purple potato juice
Published 2024-02-01Subjects: “…purple potato|anthocyanin|enzymatic process|color protection process|two-way analysis of variance|taguchi experiment…”
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SELECTING OPTIMAL PROCESS PARAMETERS OF Al2O3/C COMPOSITE USING GRA WITH PCA AND TAGUCHI’S QLF APPROACH
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Estimation of AR Parameters in the Presence of Additive Contamination in the Infinite Variance Case
Published 2005-12-01“…If we try to estimate the parameters of the AR process {Xn} using the observed process {Xn+Zn} then these estimates will be badly biased and not consistent but we can minimize the damage using a robust estimation procedure such as GM-estimation. …”
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