Meta-analysis is a very useful tool to combine information from different sources. Fixed effect and random effect models are widely used in meta-analysis. Despite their popularity, they may give us misleading results if the models don't fit the data but are blindly used. Therefore, like any statistical analysis, checking the model fitting is an important… (More)
This paper formulates an edge-based smoothed point interpolation method (ES-PIM) for solid mechanics using three-node triangular meshes. In the ES-PIM, displacement fields are construed using the point interpolation method (polynomial PIM or radial PIM), and hence the shape functions possess the Kronecker delta property, facilitates the enforcement of… (More)
A class of smoothed point interpolation methods (smoothed PIMs) are introduced in this paper, which are derived from the smoothed Galerkin weak-form for variational formulation based on the gradient smoothing techniques . In the scheme of smoothed PIMs, the strain smoothing operation  can be applied on different types of smoothing domains which are… (More)
We present two-dimension gallium nitride (GaN) quantum-well (QW) diode laser (LD) simulation using Rsoft LaserMOD. The optical mode patterns are calculated and analyzed by the transfer matrix and Ritz Iteration. Our study is focus on the ghost mode reduction in the GaN laser design and laser performance.
BACKGROUND Although some nonparametric methods have been proposed in the literature to test for the equality of median survival times for censored data in medical research, in general they have inflated type I error rates, which make their use limited in practice, especially when the sample sizes are small. METHODS In this paper, we propose a new… (More)
This article considers inference on correlation coefficients of bivariate log-normal distributions. We developed generalized confidence intervals and hypothesis tests for the correlation coefficient, and extended the results for comparing two independent correlations. Simulation studies show that the suggested methods work well even for small samples. The… (More)
In this paper, we develop a fast algorithm for a smoothing spline estimator in multivariate regression. To accomplish this, we employ general concepts associated with roughness penalty methods in conjunction with the theory of radial basis functions and reproducing kernel Hilbert spaces. It is shown that through the use of compactly supported radial basis… (More)
In this paper, the principle and the hardware and software design of sink node IF receivers based on the software radio architecture has been described. Analyses have been performed on the digital model of the sink node IF receiver. Different design schemes are compared to determine a design that meets the requirements. In the design, the electronic design… (More)