Results 1 to 10 of about 309,621 (292)
Covariance-insured screening [PDF]
Computational Statistics & Data Analysis, 2019 Modern bio-technologies have produced a vast amount of high-throughput data with the number of predictors far greater than the sample size. In order to identify more novel biomarkers and understand biological mechanisms, it is vital to detect signals weakly associated with outcomes among ultrahigh-dimensional predictors.
Kevin He +7 more
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Psychiatry and Behavioral Sciences, 2017 Analysis of Covariance (ANCOVA) is a statistical method which is an extension of ANOVA that provides a way of statistically controlling the linear effect of variables one does not want to examine in a study.
Selim Kılıc
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Covariance of Covariance Features for Image Classification [PDF]
Proceedings of International Conference on Multimedia Retrieval, 2014 In this paper we propose a novel image descriptor built by computing the covariance of pixel level features on densely sampled patches and encoding them using their covariance. Appropriate projections to the Euclidean space and feature normalizations are employed in order to provide a strong descriptor usable with linear classifiers. In order to remove
SERRA, GIUSEPPE +3 more
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Control of spatial effects due to neighboring palms in coconut (Cocos nucifera) experiments
CORD, 2007 The RCBD is the most robust design for field experimentations in coconut. In this study the effect of neighboring palms to control local variation in field experiments of coconut was evaluated using two long-term coconut trials.
T. S. G. Peiris
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Covariate Order Tests for Covariate Effect [PDF]
Lifetime Data Analysis, 2002 A new approach for constructing tests for association between a random right censored life time variable and a covariate is proposed. The basic idea is to first arrange the observations in increasing order of the covariate and then base the test on a certain point process defined by the observation times.
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Soil and Water Research, 2017 The study presents all approaches of rainfall erosivity factor (R) computation and estimation used in the Czech Republic (CR). A lot of distortions stem from the difference in erosive rainfall criteria, time period, tipping rain gauges errors, low ...
Jiří BRYCHTA, Miloslav JANEČEK
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Improving Accuracy of Brainstem MRI Volumetry: Effects of Age and Sex, and Normalization Strategies
Frontiers in Neuroscience, 2020 Background: Brainstem-mediated functions are impaired in neurodegenerative diseases and aging. Atrophy can be visualized by MRI. This study investigates extrinsic sources of brainstem volume variability, intrinsic sources of anatomical variability, and ...
Laura Sander +22 more
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Covariate Assisted Principal Regression for Covariance Matrix Outcomes [PDF]
Biostatistics, 2018 AbstractModeling variances in data has been an important topic in many fields, including in financial and neuroimaging analysis. We consider the problem of regressing covariance matrices on a vector covariates, collected from each observational unit. The main aim is to uncover the variation in the covariance matrices across units that are explained by ...
Zhao, Yi +4 more
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Determination of environmental factors affecting the distribution of plant species in northern Zagros forests (Case study: Armardeh Forest, Baneh) [PDF]
مجله جنگل ایران, 2015 Northern Zagros forests are one of the most important ecosystems in Iran from ecological and socio-economic points of view. This study was done to determine the most important gradients affecting on plant species distribution by using ordination methods.
Somayeh Gaderzadeh +3 more
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Sichuan jingshen weisheng, 2021 The purpose of the paper was to introduce the three special tests of the survival data and the SAS implementation. Specifically， it was the multiple comparisons， the trend test and the covariate test of the survival data.
Hu Chunyan, Hu Liangping
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