Results 21 to 30 of about 691 (95)
Modified estimator of the contribution rates of population eigenvalues [PDF]
, 2012 Modified estimators for the contribution rates of population eigenvalues are given under an elliptically contoured distribution. These estimators decrease the bias of the classical estimator, i.e. the sample contribution rates.
Sheena, Yo
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Statistical inference and data analysis of the record-based transmuted Burr X model
Open MathematicsProbability distribution has proven its usefulness in almost every discipline of human endeavors. A novel extension of Bur X distribution is developed in this study employing the record-based transmuted mapping technique, which can be used to fit skewed ...
Alrweili Hleil
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An iterative tomogravity algorithm for the estimation of network traffic
, 2007 This paper introduces an iterative tomogravity algorithm for the estimation of a network traffic matrix based on one snapshot observation of the link loads in the network.
Fang, Jiangang +2 more
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A matrix approach to determine optimal predictors in a constrained linear mixed model
Open MathematicsFor a general vector of all unknown vectors in a constrained linear mixed model (CLMM), this study compared the dispersion matrices of the best linear unbiased predictors with any symmetric matrix for determining the optimality of predictors among others.
Güler Nesrin, Büyükkaya Melek Eriş
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New Algorithms for $M$-Estimation of Multivariate Scatter and Location [PDF]
, 2015 We present new algorithms for $M$-estimators of multivariate scatter and location and for symmetrized $M$-estimators of multivariate scatter. The new algorithms are considerably faster than currently used fixed-point and related algorithms. The main idea
Duembgen, Lutz +2 more
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Correcting for selection bias via cross-validation in the classification of microarray data
, 2008 There is increasing interest in the use of diagnostic rules based on microarray data. These rules are formed by considering the expression levels of thousands of genes in tissue samples taken on patients of known classification with respect to a number ...
Chevelu, J., McLachlan, G. J., Zhu, J.
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Some remarks on a pair of seemingly unrelated regression models
Open Mathematics, 2019 Linear regression models are foundation of current statistical theory and have been a prominent object of study in statistical data analysis and inference.
Hou Jian, Zhao Yong
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Demonstratio MathematicaThe aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR).
Benchikh Tawfik +3 more
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Matrix completion by singular value thresholding: sharp bounds
, 2015 We consider the matrix completion problem where the aim is to esti-mate a large data matrix for which only a relatively small random subset of its entries is observed.
Klopp, Olga
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