Results 11 to 20 of about 11,532 (157)
The response surface model has been widely used in slope reliability analysis owing to its efficiency. However, this method still has certain limitations, especially the curse of high dimensionality when considering the spatial variability of ...
Zheng Zhou +12 more
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Identification of Meteorological Parameters Affecting Water Consumption in Household Sector of Qom [PDF]
Prediction of water consumption and its effective factors is an important step in water crisis management. Studies showed that meteorological parameters are considered as the most important factor for short-term prediction of water consumption.
Ghasem Amini, Zohre Saiedi
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An Adaptive-to-Model Test for Parametric Functional Single-Index Model
Model checking methods based on non-parametric estimation are widely used because of their tractable limiting null distributions and being sensitive to high-frequency oscillation alternative models.
Lili Xia, Tingyu Lai, Zhongzhan Zhang
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Advanced topics in Sliced Inverse Regression
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Girard, Stéphane +2 more
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SNP set association analysis for genome-wide association studies. [PDF]
Genome-wide association study (GWAS) is a promising approach for identifying common genetic variants of the diseases on the basis of millions of single nucleotide polymorphisms (SNPs).
Min Cai +9 more
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Protection Scheme of Power Transformer Based on Time–Frequency Analysis and KSIR-SSVM [PDF]
The aim of this paper is to extend a hybrid protection plan for Power Transformer (PT) based on MRA-KSIR-SSVM. This paper offers a new scheme for protection of power transformers to distinguish internal faults from inrush currents.
mehdi hajian, Asghar Akbari Foroud
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A Comparative Study of Five Association Tests Based on CpG Set for Epigenome-Wide Association Studies. [PDF]
An epigenome-wide association study (EWAS) is a large-scale study of human disease-associated epigenetic variation, specifically variation in DNA methylation.
Qiuyi Zhang +6 more
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Sliced inverse median difference regression [PDF]
AbstractIn this paper we propose a sufficient dimension reduction algorithm based on the difference of inverse medians. The classic methodology based on inverse means in each slice was recently extended, by using inverse medians, to robustify existing methodology at the presence of outliers.
Stephen Babos, Andreas Artemiou
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Dimension Reduction Regression in R
Regression is the study of the dependence of a response variable y on a collection predictors p collected in x. In dimension reduction regression, we seek to find a few linear combinations β1x,...,βdx, such that all the information about the regression ...
Sanford Weisberg
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Dimension reduction is often a preliminary step in the analysis of data sets with a large number of variables. Most classical, both supervised and unsupervised, dimension reduction methods such as principal component analysis (PCA), independent component
Daniel Fischer +2 more
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