Results 21 to 30 of about 245,542 (303)
Education Sciences, 2017 Amid growing concerns about the future of the U.S. economy and workforce, educators and policymakers alike have increasingly emphasized the need to expand the number of students interested in, qualified for and actually pursuing careers in science ...
Melanie LaForce +2 more
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Mathematics, 2020 Ground level concentrations of nitrogen oxide (NOx) can act as an indicator of air quality in the urban environment. In cities with relatively good air quality, and where NOx concentrations rarely exceed legal limits, adverse health effects on the ...
Javier Martínez Torres +5 more
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Data compression algorithms for sensor networks with periodic transmission schemes [PDF]
MATEC Web of Conferences, 2022 The operating state of switch cabinet is significant for the reliability of the whole power system, collecting and monitoring its data through the wireless sensor network is an effective method to avoid accidents.
Chen Jianxin +5 more
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Bootstrap innovational outlier unit root tests in dependent panels [PDF]
, 2012 In this paper, we propose new simple innovational outlier (IO) panel unit root tests with a break. A bootstrap method for dealing with cross-sectional dependence is provided and small sample properties of the bootstrap tests are investigated by Monte ...
Gutierrez, L +8 more
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Separating Effect From Significance in Markov Chain Tests
Statistics and Public Policy, 2020 We give qualitative and quantitative improvements to theorems which enable significance testing in Markov chains, with a particular eye toward the goal of enabling strong, interpretable, and statistically rigorous claims of political gerrymandering.
Maria Chikina +3 more
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Media Statistika, 2023 Poverty is defined as an inability of the individual to meet basic needs for a decent life. According to BPS data in 2020, Sulawesi Island ranks fifth as the poorest island in Indonesia.
Febriyana Taki +2 more
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ℓ1 Major Component Detection and Analysis (ℓ1 MCDA) in Three and Higher Dimensional Spaces
Algorithms, 2014 Based on the recent development of two dimensional ℓ1 major component detection and analysis (ℓ1 MCDA), we develop a scalable ℓ1 MCDA in the n-dimensional space to identify the major directions of star-shaped heavy-tailed statistical distributions with ...
Zhibin Deng +3 more
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Outlier-Aware Demand Prediction Using Recurrent Neural Network-Based Models and Statistical Approach
IEEE Access, 2023 The paint industry comprises an elaborate supply chain involving various activities such as raw material procurement, manufacturing, and distribution. In addition, the accuracy of demand prediction significantly impacts supply chain management.
Yuseon Kim, Kyongseok Park
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Use the robust RFCH method with a polychoric correlation matrix in structural equation modeling When you are ordinal data [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 Structural Equation Modeling is a statistical methodology commonly used in the social and administrative sciences and all other. In this research, the researcher made a comparison between methods of estimation Unweighted Least Squares with Mean and ...
Omar Salim, Mohammed Mohammed
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On replacement of outliers and missing values in time series
EQA, 2023 Presence of missing values and occurrence of outliers in time series cause many hindrances in the analysis of data. Several methods are proposed for determining estimates to replace the missing values and outliers.
Loganathan Appaia, Sumithra Palraj
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