Many social researchers measure multidimensional variables, such as rural leadership, by aggregating the scores of individual dimensions / sub-dimensions. These dimensions / sub-dimensions are highly correlated and have inherent problem of multicolinearity which causes attenuation in measurement. In order to overcome this problem, the M-K-J-B-D method developed by a group of researchers, has be...

The method of Generalized Maximum Entropy (GME), proposed in Golan, Judge and Miller (1996), is an information-theoretic approach that is robust to multicolinearity problem. It uses an objective function that is the sum of the entropies for coefficient distributions and disturbance distributions. This method can be generalized to the weighted GME (W-GME), where different weights are assigned to...

Super sweet corn breeding must develop hybrids that fully meet the expectations of market. In this sense, determination keytraits for selection sweetcorn genotypes is a fundamental condition success. The objective work was to identify key traits promising and contrasting super corn. experiments were carried out in Guarapuava (PR), two sowing dates. Seventeen related yield quality ear evaluated....

A procedure to select the most relevant metrics for assessing the ecological condition of the Douro basin (north Portugal) was developed based upon a set of 184 benthic community metrics. They were grouped into 16 biological categories selected from literature using data collected over 2 years from 54 sites along 31 rivers covering the whole perceived range of human disturbance. Multivariate an...

To cope with the computational intensity associated with classification tree analysis and the multicolinearity in the process data, a newly developed process monitoring scheme integrating classification tree and Fisher Discriminant Analysis (FDA) is developed. FDA extracts the most significant components in the original process data and achieves optimal discriminating among different faults. Cl...

The subsection entitled Performance in the presence of high collinearity on page 15 starts with the sentence “It is reasonable to assume that the presence of highly correlated covariates may complicate the identification of relevant predictors.” Two new covariates, which are linear combinations of existing covariates, are then added to simulated data which had N = 50 samples and p = 200 covaria...

This study aims to analyze the effect of Human Resources Management Audit on Employee Performance in General Hospital Bekasi. is a causal-comparative research. population entire Bekasi employees totaling 158 respondents. The selection sample using Cluster Random Sampling method. number samples was 80 respondents, derived from four divisions: medical division (8 respondents), paramedic (32 suppo...

The human development index is a value where the showed measure of living standards comparison in region. Human Development Index influenced by several factors, one them education factor that average years schooling and expected schooling. A statistical method to find correlation between independent variable dependent can be conducted using linear regression method. Linear requires assumptions,...

One of the challenges faced by waste management authorities is determining the amount of waste generated by households in order to establish waste management systems, as well as trying to charge rates compatible with the principle applied worldwide, and design a fair payment system for households according to the amount of residential solid waste (RSW) they generate. The goal of this research w...