A general class of regression models for ordinal data is developed and discussed. These models utilize the ordinal nature of the data by describing various modes of stochastic ordering and this ...

The Cox regression model for censored survival data specifies that covariates have a proportional effect on the hazard function of the life-time distribution of an individual. In this paper we discuss ...

Hence, the greater precision of the logistic regression model compared with the Cox model for the random and survey follow-up models leads to the larger differences in power for these models.

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

Predicting the Future The most common use of regression in business is to predict events that have yet to occur. Demand analysis, for example, predicts how many units consumers will purchase.

Stepwise regression involves selection of independent variables to use in a model based on an iterative process of adding or removing variables.