Background: Two main issues that challenge model building are number of Events Per Variable and multicollinearity among exploratory variables. Our aim is to review statistical methods that tackle these issues with emphasize on penalized Lasso regression model.  The present study aimed to explain problems of traditional regressions due to small sample size and m...

Assessment of vegetation water content is critical for monitoring vegetation condition, detecting plant water stress, assessing the risk of forest fires and evaluating water status for irrigation. The main objective of this study was to investigate the performance of various monoand multi-variate statistical methods for estimating vegetation water content (VWC) from hyper-spectral data. Hyper-s...

Usually the existence of influential observations is complicated by the presence of collinearity in linear measurement error models. However no method of influence measure available for the possible effect's that collinearity can have on the influence of an observation in such models. In this paper, a new type of ridge estimator based corrected likelihood function (REC) for linear measurement e...

We characterize the collinearity (adjacency) relation of dual polar spaces and half-spin Grassmann spaces in terms of the relation to be opposite in the corresponding collinearity graphs. Our characterization is closely related with results given [1] and [2].

methodsusing time series data of national level (1967 to 2012 years), we explored the association between total fertility rate, gdp per capita, number of physician per 1000 populations, female labor force participation rate, percentage of people living in rural regions and mean years schooling for each people with infant mortality rate of iran. these data were obtained from central bank of isla...

Lower tropospheric temperature anomalies from the global satellite MSU that have been available since 1979 are unique and play a significant role in the continuing climate debate. A number of investigators have analyzed the MSU data using regression analysis to remove the geophysical effects of volcanoes, El Niño/Southern Oscillation, and solar irradiance in an effort to determine any underlyin...

Gestalt factors of collinearity and similarity facilitate two fundamental perceptual tasks: grouping elements into figures and segmentation of figures from the ground. We have used a global-local paradigm to examine the psychophysical and neural correlates of these processes in humans: observers discriminated between orientations of either a three-Gabor group (grouping), or of a central Gabor w...

July 26, 2010 Title Tools for evaluating collinearity Version 2.04 Author John Hendrickx Description “perturb” evaluates collinearity by adding random noise to selected variables. “colldiag” calculates condition numbers and variance decomposition proportions to test for collinearity and uncover its sources. Maintainer John Hendrickx License GPL (>= 2) Enhances car URL...