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 Versions of Liu-type Estimator in Weighted and non-weighted Mixed Regression Model
مجلة بغداد للعلوم, 2020 This paper considers and proposes new estimators that depend on the sample and on prior information in the case that they either are equally or are not equally important in the model.
Mustafa Ismaeel Naif Alheety
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2000 Mathematics Subject Classification: Primary 62C99, sec-ondary 62C10, 62C20, 62J05
, 2016 The paper deals with recovering an unknown vector β ∈ R^p based on the observations Y = Xβ + ∈ξ and Z = X + σζ, where X is an unknown n×p-matrix with n ≥ p, ξ ∈ R^p is a standard white Gaussian noise, ζ is a n × p-matrix with i.i.d. standard Gaussian entries, and ∈, σ ∈ R^+ are known noise levels. It is assumed that X has a large condition number and p
Golubev, Yu., Zimolo, Th.
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Next-Generation Sequencing Data-Based Association Testing of a Group of Genetic Markers for Complex Responses Using a Generalized Linear Model Framework. [PDF]
Mathematics (Basel), 2023 Xu Z, Yan S, Wu C, Duan Q, Chen S, Li Y.
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LIC criterion for optimal subset selection in distributed interval estimation. [PDF]
J Appl Stat, 2023 Guo G, Sun Y, Qian G, Wang Q.
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The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. [PDF]
J Appl Stat, 2023 Hashimoto EM +4 more
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A robust and efficient variable selection method for linear regression. [PDF]
J Appl Stat, 2022 Yang Z, Fu L, Wang YG, Dong Z, Jiang Y.
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Unit upper truncated Weibull distribution with extension to 0 and 1 inflated model - Theory and applications. [PDF]
Heliyon, 2023 Okorie IE, Afuecheta E, Bakouch HS.
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Predicting and explaining absenteeism risk in hospital patients before and during COVID-19. [PDF]
Socioecon Plann Sci, 2023 Borges A +4 more
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Partial least squares regression with compositional response variables and covariates. [PDF]
J Appl Stat, 2021 Chen J, Zhang X, Hron K.
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