The purpose of this paper is to forecast oil price movements for a given quartile using linear regression method. Historical oil price data, analyst estimates and other fundamental data are used to aid in the forecasting process. Causes for the recent oil crisis are discussed and the rate at...

Censored count data are encountered in many applications, often due to a data collection mechanism that introduces censoring. A common example is questionnaires with question answers of the type 0,1,2,3. We consider the problem of predicting a censored output variable Y, given a set of complete...