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A-optimal designs for generalized linear model with two parameters.
We describe development and validation of a tangent linear model for the High-Order Method Modeling Environment, the default dynamical core in the Community Atmosphere Model and the Community Earth Sy...
This paper made a discuss on the relative efficiency of the generalized conditional root square estimation and the specific conditional root square estimation in paper [1,2] in inhomogeneous equality ...
We introduce two novel procedures to test the nullity of the slope function in the functional linear model with real output. The test statistics combine multiple testing ideas and random projections o...
In this short paper, we mainly aim to appeal to readers to pay close attention to the criterion of modified least squares and develop it to generalized modified least squares. The closed-form of the g...
In this paper, we establish optimal hypoelliptic estimates for a class of kinetic equations, which are linear models for the spatially inhomogeneous Boltzmann equation without angular cutoff.
An analytic comparison of permutation methods for tests of partial regression coefficients in the linear model.
A Linear Model (Smith and Barstad, 2004) was used to dynamically downscale Orographic Precipitation over western Norway from twelve General Circulation Model simulations. The GCM simulations come from...
We study the performance of estimators of a sparse nonrandom vector based on an observation which is linearly transformed and corrupted by additive white Gaussian noise.
Three-dimensional temperature and velocity fields are calculated analytically for a rectangular β-plane ocean model, forced by a prescribed wind stress and surface heat flux. A basic thermal state inv...
An experiment in which surface wind stress data from the National Center for Atmospheric Research global circulation model (GCM) was used to drive a simple model of the tropical Pacific is described. ...
A simplified model is described for wave generation and air–sea momentum flux. The model is based upon the quasilinear theory employed by Fabrikant and Janssen, in which the mean flow is approximated ...
The model we propose is a generalization of the linear discrete model to the case of time varying environment. We present a time discrete time varying model of the dynamics of a population structured ...
To tackle multi collinearity or ill-conditioned designmatrices in linear models, adaptive biased estimators such as thetime-honored Stein estimator, the ridge and the principalcomponent estimators hav...

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