Showing papers on "Unit-weighted regression published in 1995"

Correlation and Regression: Principles and Applications for Industrial/Organizational Psychology and Management

Abstract: An introduction, an overview and some reminders a review of the correlation coefficient and its properties testing correlations for statistical significance applications of Pearson correlation to measurement theory range restriction "simple", two-variable regression three applications of bivariate regression - utility analysis, regression to the mean, partial correlation multiple (mostly trivariate) regression expanding the regression repertoire - polynomial and interaction terms more about regression, and beyond.

Regional Flood Relationships by Nonparametric Regression

Abstract: Since some theoretical assumptions needed in linear regression are not always fulfilled in practical applications, nonparametric regression was investigated as an alternative method in regional flood relationship development. Simulation studies were developed to compare the bias, the variance and the root-mean-square-errors of nonparametric and parametric regressions. It was concluded that when an appropriate parametric model can be determined, parametric regression is preferred over nonparametric regression. However, where an appropriate model cannot be determined, nonparametric regression is preferred. It was found that both linear regression and nonparametric regression gave very similar regional relationships for annual maximum floods from New Brunswick, Canada. It was also found that nonparametric regression can be useful as a screening tool able to detect data deficient relationships.

Alternative Techniques for Predicting Success in Air Controller School

Abstract: The Armed Services Vocational Aptitude Battery (ASVAB) is the principal cognitive test battery used for military classification-that is, for assignment of individuals to specific job categories. Successful entrance into a specific job category requires satisfactory completion of relevant training. Therefore, it is necessary that the ASVAB accurately predict the likelihood that individuals will complete training. Presently, the U.S. Navy classifies enlisted personnel based on a unit-weighted linear combination of scores derived from a subset of tests currently composing the ASVAB test battery. This research explored the development of new classification models estimated by using linear regression, logistic regression, discriminant analysis, and artificial neural networks, and it compared their classification accuracy with models developed using unit- weighted regression. Models were estimated and cross-validated using data from individuals admitted into the Navy's Air Controlman training during fiscal year...

Some Leftover Statistical Topics

Abstract: .Terms used in multivariate statistics are described, with examples of their usage. Included are descriptions of Bonferroni adjustment, Mahalanobis distance, neurometries, multiple correlation, multiple regression, stepwise regression, discriminant function analysis, logistic regression, multivariate analysis of variance, cluster analysis, principal components analysis, factor analysis, and Fourier analysis.