Regression analysis is an important tool in statistical analysis, which there a demand of discovering essential independent variables among many other ones, especially case that huge number random variables. Extreme bound powerful approach to extract such called robust regressors. In this research, I propose so-called Regressive Expectation Maximization with RObust regressors (REMRO) algorithm ...

Abstract Judo is a skills-led sport, which has higher requirements on the athletes’ skills, physical ability, intelligence and psychology, but characteristics are still basis of competitive ability. In this article, 107 male judo athletes were selected as investigation object, their body shape indexes some quality measured, independent sample multiple regression method T-test applied to compare...

This study was conducted to determine the correlation between mass of eggs based on its geometrical dimensions characteristics such as length (L), width (W), geometric mean diameter (GMD), first and second projection areas (PA1, PA2), criteria area (CAE), oblate spheroid volume (Vosp), measured (Vm) shape index (SI). Based upon SI, were characterized sharp (<72), normal (72 -76) round (&...

This paper conducts research on how to measure the difficulty of English texts and extend it other languages, such as Chinese. Firstly, text features that can represent reading are extracted represented using parameters. Secondly, indicators subjected KMO Bartlett's tests, results show these suitable for factor analysis. Then, a comprehensive evaluation model language based analysis is construc...

Principal loading analysis is a dimension reduction method that discards variables which have only small distorting effect on the covariance matrix. As special case, principal are not correlated with remaining ones. In multivariate linear regression other hand, predictors neither both nor dependent coefficients equal to zero. Hence, if goal select number of predictors, do correlate discarded as...