The optimal minimum distance (OMD) estimator for models of covariance structures is asymptotically efficient but has much worse finite-sample properties than does the equally-weighted minimum distance (EWMD) estimator. This paper shows how the bootstrap can be used to improve the finite-sample performance of the OMD estimator. The theory underlying the bootstrap's ability to reduce the bias of ...

Chinese Lexicon Project (Sze et al., 2014) summarized lexical decision response data of 2,500 Chinese characters. The original analysis has showed that the newest character frequency norm accounts the most variance of reaction times. The variance of these response data are analyzed in terms of the character frequency, strokes, and structures in use of the norms from Taiwan. First of all, simpli...

This contribution is focused on how to write a research paper when structural equation models are being used in empirical work. The main question to be answered is what information should be reported and what results can be deleted without much loss of judgment about the quality of research and the validity of conclusions being made. The major conjecture is that all information should be report...

three combination methods commonly used in tourism forecasting are the simple average method, the variance-covariance method and the discounted msfe method. these methods assign the different weights that can not change at each time point to each individual forecasting model. in this study, we introduce the iowga operator combination method which can overcome the defect of previous three combin...

Heterogeneity of variance of growth traits over age is a common issue in estimating genetic parameters and is addressed in this study by selecting appropriate variance structure models for additive genetic and environmental variances. Modeling and partitioning those variances connected with analyzing small data sets were demonstrated on Lipizzan horses. The following traits were analyzed: withe...