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1741
A New Mixed Estimator in Nonparametric Regression for Longitudinal Data
Published 2021-01-01Get full text
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1742
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1743
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1744
A scoping review of robustness concepts for machine learning in healthcare
Published 2025-01-01Get full text
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1745
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1746
Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data
Published 2023-01-01Get full text
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1747
The modification of the generalized gauss-seidel iteration techniques for absolute value equations
Published 2022-12-01Get full text
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1748
On Stability Analysis of Linear Axially Moving Damped Beam with Elastic Foundation
Published 2024-01-01Get full text
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1749
A New Extension of the Exponentiated Weibull Model Mathematical Properties and Modelling
Published 2022-01-01“…Some EW-EW distribution features, such as precise formulas for ordinary moments, quantile, median, and order statistics, are found. Model parameters were estimated using the maximum likelihood technique (ML). …”
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1750
A Newton-Like Trust Region Method for Large-Scale Unconstrained Nonconvex Minimization
Published 2013-01-01Get full text
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1751
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1752
Uncertainty-Based Trimmed Coefficient of Variation with Application
Published 2021-01-01“…The application of the proposed neutrosophic trimmed descriptive statistics is given with the help of measurement data. …”
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1753
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1754
Breather Positons and Rogue Waves for the Nonlocal Fokas-Lenells Equation
Published 2021-01-01Get full text
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1755
Hopf Bifurcation Analysis of a Predator-Prey Biological Economic System with Nonselective Harvesting
Published 2015-01-01Get full text
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1756
Mathematical Modeling and Stability Analysis of Systemic Risk in the Banking Ecosystem
Published 2023-01-01Get full text
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1757
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1758
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1759
Correlated Proportions Test under Indeterminacy
Published 2021-01-01“…The existing Z-test for correlated proportions under classical statistics is applied when observations in the data are exact and precise. …”
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1760
Neutrosophic D’Agostino Test of Normality: An Application to Water Data
Published 2021-01-01“…In this paper, we present a D’Agostino test under neutrosophic statistics. We propose the D’Agostino test to test the normality of the data having indeterminate observations. …”
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