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An Unbiased Estimator of the Covariance Matrix of the Mixed Regression Estimator
1989This paper derives an unbiased estimator of the covariance matrix of the "mixed regression estimator" suggested by Theil and Goldberger (1961) for combining prior information with the sample information in regression analysis. This derivation facilitates the construction of finite-sample standard errors for the mixed estimators of the individual ...
Giles, D. E. A +3 more
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The Estimation of Mixing Matrix Based on Bernoulli-Gaussian Model
2011 Seventh International Conference on Computational Intelligence and Security, 2011Based on Bernoulli-Gaussian model and the sparseness of source signals, a new algorithm for estimating the mixing matrix is proposed in this paper. It estimates the mixing matrix by searching the cluster points which are found through the density of points in the region.
Jiechang Wen, Taowen Wang
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Estimations of effective diffusivity of hollow fiber mixed matrix membranes
Journal of Membrane Science, 2015Abstract Mixed matrix membranes (MMMs) are composed of a polymeric matrix, which gives them good processability, and crystalline microporous fillers, which give them high separation performance. The need to predict the separation performance of MMMs has led to the development of a number of analytical and numerical methods for the estimation of ...
An-Chih Yang, Chih-Han Liu, Dun-Yen Kang
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Improved estimates of the covariance matrix in general linear mixed models
Acta Mathematica Scientia, 2010In this paper, the problem of estimating the covariance matrix in general linear mixed models is considered. A new class of estimators is proposed. It is shown that this new estimator dominates the analysis of variance estimate under two squared loss functions.
Ye Rendao, Wang Songgui
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Mixing Matrix Estimation based on Density Clustering for Blind Source Separation
Rou Wen +8 more
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The Bias and Moment Matrix of a Mixed Regression Estimator
Econometrica, 1964Nagar, A. L., Kakwani, N. C.
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Underdetermined mixing matrix estimation by exploiting sparsity of sources
Measurement: Journal of the International Measurement Confederation, 2020Liangli Zhen +2 more
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