Results 21 to 30 of about 34,540 (263)
A Stochastic Restricted Principal Components Regression Estimator in the Linear Model
The Scientific World Journal, 2014 We propose a new estimator to combat the multicollinearity in the linear model when there are stochastic linear restrictions on the regression coefficients.
Daojiang He, Yan Wu
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LASSO-type estimators for semiparametric nonlinear mixed-effects models estimation [PDF]
Statistics and Computing, 2013 Parametric nonlinear mixed effects models (NLMEs) are now widely used in biometrical studies, especially in pharmacokinetics research and HIV dynamics models, due to, among other aspects, the computational advances achieved during the last years.
Arribas-Gil, Ana +3 more
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Stochastic Restricted Modified Mixed Logistic Estimator
Austrian Journal of StatisticsIn this study, we introduce a new estimator named the Stochastic Restricted Modified Mixed Logistic Estimator (SRMMLE), which is specifically designed to handle multicollinearity within the framework of stochastic linear restrictions.
Kayathiri Thayaparan +2 more
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Selection and estimation for mixed graphical models [PDF]
Biometrika, 2014 We consider the problem of estimating the parameters in a pairwise graphical model in which the distribution of each node, conditioned on the others, may have a different parametric form. In particular, we assume that each node's conditional distribution is in the exponential family.
Chen, Shizhe +2 more
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New Stochastic Restricted Biased Regression Estimators
MathematicsIn this paper, we propose three stochastic restricted biased estimators for the linear regression model. These new estimators generalize the least squares estimator, mixed estimator, and biased estimator. We derive the necessary and sufficient conditions
Issam Dawoud, Hussein Eledum
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Pediatric Blood &Cancer, EarlyView.ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small +3 more
wiley +1 more source
Comparison Between Ordinary Method and Robust Method to estimate the Parameters of the Bivariate Mixed Model, ARMA(1,1) [PDF]
المجلة العراقية للعلوم الاحصائية, 2005 A condensed study was done to compare between the ordinary estimators. In particular the maximum likelihood estimator and the robust estimator, to estimate the parameters of the bivariate mixed model of order one, namely BARMA(1,1).
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Inference of microbial recombination rates from metagenomic data. [PDF]
PLoS Genetics, 2009 Metagenomic sequencing projects from environments dominated by a small number of species produce genome-wide population samples. We present a two-site composite likelihood estimator of the scaled recombination rate, rho = 2N(e)c, that operates on ...
Philip L F Johnson, Montgomery Slatkin
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AIMS Mathematics, 2023 For a class of Stokes eigenvalue problems including the classical Stokes eigenvalue problem and the magnetohydrodynamic Stokes eigenvalue problem a residual type a posteriori error estimate of the mixed discontinuous Galerkin finite element method using $
Lingling Sun, Hai Bi, Yidu Yang
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Mixed-state Pauli-channel parameter estimation [PDF]
Physical Review A, 2013 The accuracy of any physical scheme used to estimate the parameter describing the strength of a single qubit Pauli channel can be quantified using standard techniques from quantum estimation theory. It is known that the optimal estimation scheme, with m channel invocations, uses initial states for the systems which are pure and unentangled and provides
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