In multiple regression, different techniques are available to deal with the situation where predictors large in number, and multicollinearity exists among them. Some of these approaches rely on correlation others depend principal components. To cope influential observations (outliers, leverage, or both) data matrix for regression purposes, two proposed this paper. These Robust Correlation Based...

There are different ways to quantify the relation between two or more continuous variables. Some researchers use correlation coefficients; others will apply regression methods such as linear regression. In this paper, we show that choice and is not purely a statistical one but largely depends on research aims. Importantly, should always inspect data before using either of methods.

this study aimed to determinate the relative contribution of brand loyalty in brand association in football premier league of iran. this study was a descriptive, practical survey. a sample of 797 football premier league fans participated in this study. in order to collect the data, team association questionnaire by gladden and funk (2001) was used. the reliability of the questionnaire was estim...

BACKGROUND An earthquake struck Yushu in Qinghai province of China on April 14, 2010, causing 2698 deaths and 12,135 injuries.The present study aimed to assess the health status, and associated determinants, of child survivors in the epicenter of the Yushu earthquake 6 years after the event. METHODS A cross-sectional survey was performed among students from two junior schools in Yushu County....

BACKGROUND The specific impact of transplantation on living related donor (LRD) and cadaver (CAD) kidney transplant recipients and their health-related quality of life (HQoL) has received little attention. This study examined the role of sociodemographic, medical and psychological factors in these two groups. METHODS A total of 347 transplant recipients (76 LRD and 271 CAD patients) completed...

The cross-correlation histogram has provided the primary tool for inferring the structure of common inputs to pairs of neurones. While this technique has produced useful results it not clear how it may be extended to complex networks. In this report we introduce a linear model for point process systems. The finite Fourier transform of this model leads to a regression type analysis of the relati...