Titlebook: Recent Developments in Multivariate and Random Matrix Analysis; Festschrift in Honou Thomas Holgersson,Martin Singull Book 2020 Springer Na

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Miguel Fonseca,Martin Singullaximum effect. Progress charts, content questions, and other helpful features make this an invaluable resource for students and professionals alike. .Included in the coverage:.The prevention model and problem s978-1-4899-9817-0978-1-4614-7807-2

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Detection of Sparse and Weak Effects in High-Dimensional Feature Space, with an Application to Micrnstrate that the entire family is a flexible device that adapts to many interesting situations of modern scientific practice where the number of observations stays fixed or grows very slowly while the number of automatically measured features grows dramatically and only a small fraction of these fea

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https://doi.org/10.1007/978-3-030-56773-6random matrix; regression analysis; time series analysis; high dimensional data; multivariate analysis

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On Explicit Estimation of the Growth Curve Model with a Block Circular Covariance Structure,Estimation of mean parameters in the growth curve model, when the covariance matrix has a block circular Toeplitz structure, is considered. The purpose of this article is to find the appropriate design matrices so that explicit mean estimators can be obtained.

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