Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...

The Journal of the Operational Research Society, Vol. 60, No. 12 (Dec., 2009), pp. 1775-1785 (11 pages) The research on efficiency valuations has used two distinct approaches. One is the nonparametric ...

A variant of Banker and Morey's (1986) DEA model for controllable ordinal outputs. As opposed to the original model, this version allows the comparison of a Decision Making Unit (DMU) to other DMU's ...

Now that you've got a good sense of how to "speak" R, let's use it with linear regression to make distinctive predictions. The R system has three components: a scripting language, an interactive ...

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...