Using financial ratio data from 2006 and 2007, this study uses a three-fold cross validation scheme to compare the classification pre diction of bankrupt firms by robust logistic regression with Bianco Yohai (BY) estimator versus maximum likelihood (ML) regression. With both 2007 data, BY improves in training set prediction testing set. In an out sample test, correctly predicts bankruptcy for L...

In-service training is education for employees to help them develop their professional skills in a specific discipline or occupation. This training takes place after an individual begins work responsibilities. On-line technology is supporting our learning in many ways. Both credit and degree pursuing are formal developing program. There is a need to developing a model of in-service training for...

This study uses data from the 1993 National Study of Post-secondary Faculty to examine the extent to which the concentration of women among part-time and nontenure-track faculty is related to family responsibilities. Descriptive and multinomial logistic regression analyses are used to examine the research questions. Disciplines Education | Higher Education | Social and Cultural Anthropology Thi...

In this paper, statistical, artificial neural networks and fuzzy based feature evaluation indices are analysed in order to determine the importance of prostate cancer prognostic markers. Seven prognostic markers are assessed in terms of 3 output classes using logistic regression as a statistical method, multilayer feedforward back propagation neural networks (MLFFBPNN) as a neural network tool,...