Results 21 to 30 of about 38,249,777 (279)
Variable-relevance ranking of top 10 predictors for each machine learning algorithm. (DOCX)
Ryan P. Strum +7 more
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Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution [PDF]
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and related scientific fields, for instance to select a subset of genetic markers ...
Zeileis, Achim +11 more
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Variable selection with Random Forests for missing data [PDF]
Variable selection has been suggested for Random Forests to improve their efficiency of data prediction and interpretation. However, its basic element, i.e.
Hapfelmeier, Alexander, Ulm, Kurt
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BackgroundIntensive care unit (ICU) nurses are highly prone to occupational stress and burnout, affecting their physical and mental health. The occurrence of the pandemic and related events increased nurses’ workload and further exacerbated their stress ...
Pratima Saravanan +5 more
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Optimal Neutrosophic Difference to Log-Type Estimator for Population Mean: Some Numerical and Simulation Studieshttps://fs.unm.edu/NSS/11NeutrosophicDifference.pdf [PDF]
Indeterminacy in the data are commonly observed in various fields like biomedicine, finance, marketing and other sphere of sciences, where classical statistical methods is a challenging task to deal such type of data.
SM Afsar Basha, Mahamood Usman
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Studies in the variability of pock counts [PDF]
1. The relationship has been examined between the variance and the mean of pock counts made by a number of different workers.2. In all cases the variance was considerably greater than that expected if the distributions were of the Poisson form. Recent work of Westwoodet al.(1957) suggests that variation approaching the Poisson expectation can be ...
openaire +2 more sources
A family of estimators for variance estimation
The potential of this study for estimating the finite population variance of the study variable of a class of estimators by utilizing an auxiliary variable in simple random sampling is enormous.
Housila P. Singh +3 more
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Inverse kinematic analysis for triple-octahedron variable-geometry truss manipulators [PDF]
In this paper, a new triple-octahedron variable-geometry truss manipulator is presented. Its inverse kinematic solutions in closed form are studied. An input-output displacement equation in one output variable is derived.
Xu, L. J. +7 more
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Dual Transformation of Auxiliary Variables by Using Outliers in Stratified Random Sampling
To estimate the finite population variance of the study variable, this paper proposes an improved class of efficient estimators using different transformations. When both the minimum and maximum values of the auxiliary variable are known and the ranks of
Mohammed Ahmed Alomair, Umer Daraz
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Time variability studies with ROSAT [PDF]
AbstractAn overview over the mission of the X-ray astronomy satellite ROSAT (Röntgensatellit) is given with an emphasis on the first soft X-ray all-sky survey carried out with an imaging telescope. Several examples of time variability studies made possible by the all-sky survey are shown for active late-type stars. Two exceptional long-duration stellar
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