The comparisons between the simulated results of two models and experiments show that double ellipsoidalmodel is better than Gaussian model on three-dimensional analysis.
This paper gives a necessary condition for the admissibility of a nonnegative, quadratic estimator for error variance in linear model with respect to restricted ellipsoidal parameter space.
本文给出了线性模型中椭球约束下，误差方差非负二次估计可容许的一个必要条件。
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The numerical model is applied to simulate the random packing of mono-sized and binary mixtures of ellipsoidal particles.