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...

Logistic regression models are frequently used in clinicalresearch and particularly for modeling disease status and patientsurvival. In practice, clinical studies have several limitationsFor instance, in the study of rare diseases or due ethical considerations, we can only have small sample sizes. In addition, the lack of suitable andadvanced measuring instruments lead to non-precise observatio...

In this project, we study learning the Logistic Regression model by gradient ascent and stochastic gradient ascent. Regularization is used to avoid overfitting. Some practical tricks to improve learning are also explored, such as batch-based gradient ascent, data normalization, grid searching, early stopping, and model averaging. We observe the factors that affect the result, and determine thes...