Results 11 to 20 of about 2,014 (224)
Identification of Meteorological Parameters Affecting Water Consumption in Household Sector of Qom [PDF]
آب و فاضلاب, 2018 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
Mathematics, 2023 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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A Note on Sliced Inverse Regression with Regularizations [PDF]
Biometrics, 2008 Summary In Li and Yin (2008, Biometrics64, 124–131), a ridge SIR estimator is introduced as the solution of a minimization problem and computed thanks to an alternating least‐squares algorithm. This methodology reveals good performance in practice. In this note, we focus on the theoretical properties of the estimator.
Bernard-Michel, Caroline +2 more
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SNP set association analysis for genome-wide association studies. [PDF]
PLoS ONE, 2013 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]
Journal of Artificial Intelligence and Data Mining, 2013 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]
PLoS ONE, 2016 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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Dimension Reduction Regression in R
Journal of Statistical Software, 2002 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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Heliyon, 2020 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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Sliced Inverse Regression: application to fundamental stellar parameters
Open Astronomy, 2019 We present a method for deriving the stellar fundamental parameters. It is based on a regularized sliced inverse regression (RSIR).We first tested it on noisy synthetic spectra of A, F, G, and K-type stars, and inverted simultaneously their atmospheric ...
Kassounian Sarkis +3 more
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Tensor sliced inverse regression
Journal of Multivariate Analysis, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shanshan Ding, R. Dennis Cook
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