Results 21 to 30 of about 3,385,081 (356)

Comment on "Support Vector Machines with Applications" [PDF]

Statistical Science 2006, Vol. 21, No. 3, 337-340, 2006
Comment on ``Support Vector Machines with Applications'' [math.ST/0612817]
arxiv   +3 more sources

Risk quantification using skewed distributions: An application to the South African Financial Index (J580) [PDF]

ITM Web of Conferences
This study assesses the reproducibility of a recent publication on the risk quantification of the South African Financial Index (J580) using skewed distributions. That is, four skewed distributions (Burr, exponential, gamma and Weibull) are fitted to the
Shongwe Sandile Charles, Paulse Nasreen Ammaarah, Malumane Lesego Edith   +2 more
doaj   +1 more source

Artificial neural networks improve and simplify intensive care mortality prognostication: a national cohort study of 217,289 first-time intensive care unit admissions

Journal of Intensive Care, 2019
Purpose We investigated if early intensive care unit (ICU) scoring with the Simplified Acute Physiology Score (SAPS 3) could be improved using artificial neural networks (ANNs). Methods All first-time adult intensive care admissions in Sweden during 2009–
Gustav Holmgren, Peder Andersson, Andreas Jakobsson, Attila Frigyesi   +3 more
doaj   +1 more source

Comment: Classifier Technology and the Illusion of Progress [PDF]

Statistical Science 2006, Vol. 21, No. 1, 15-18, 2006
Comment on Classifier Technology and the Illusion of Progress [math.ST/0606441]
arxiv   +2 more sources

CutIGA with basis function removal

Advanced Modeling and Simulation in Engineering Sciences, 2018
We consider a cut isogeometric method, where the boundary of the domain is allowed to cut through the background mesh in an arbitrary fashion for a second order elliptic model problem.
Daniel Elfverson, Mats G. Larson, Karl Larsson   +2 more
doaj   +1 more source

Mathematical Statistics and Data Analysis

, 1988
1. PROBABILITY. Introduction. Sample Spaces. Probability Measures. Computing Probabilities: Counting Methods. Conditional Probability. Independence. Concluding Remarks. Problems. 2. RANDOM VARIABLES. Discrete Random Variables. Continuous Random Variables.
J. Rice
semanticscholar   +1 more source

Application of mathematical modeling in probability theory and mathematical statistics [PDF]

E3S Web of Conferences
In this academic paper, the application of mathematical modeling in the fields of probability theory and mathematical statistics is rigorously explored.
Egamov Mirshohid, Sharipov Ergash, Shodiev Saʼdulla, Abdiraxmonov Abdimumin   +3 more
doaj   +1 more source

Mathematical Statistics in the Geology [PDF]

Acta Montanistica Slovaca, 1999
During the last period is modern geology oriented toward intensive utilisation of mathematical methods. Utilisation of these methods was conditioned by complicated structure of geological bodies, which resulted from interaction of a couple of factors. In
Blišťan Peter
doaj  

Probabilistic linear widths of Sobolev space with Jacobi weights on [ − 1 , 1 ] $[-1,1]$

Journal of Inequalities and Applications, 2017
Optimal asymptotic orders of the probabilistic linear ( n , δ ) $(n,\delta)$ -widths of λ n , δ ( W 2 , α , β r , ν , L q , α , β ) $\lambda_{n,\delta }(W^{r}_{2,\alpha,\beta }, \nu,L_{q,\alpha,\beta })$ of the weighted Sobolev space W 2 , α , β r $W_{2,{
Xuebo Zhai, Xiuyan Hu
doaj   +1 more source

Rejoinder to "Equi-energy sampler with applications in statistical inference and statistical mechanics" [PDF]

Annals of Statistics 2006, Vol. 34, No. 4, 1646-1652, 2006
Rejoinder to ``Equi-energy sampler with applications in statistical inference and statistical mechanics'' by Kou, Zhou and Wong [math.ST/0507080]
arxiv   +1 more source