Many statistical forecast systems are available to interested users. To be useful for decision making, these systems must be based on evidence of underlying mechanisms. Once causal connections between the mechanism and its statistical manifestation have been firmly established, the forecasts...

Thesis (MSc (Mathematical Sciences))--Stellenbosch University, 2011

Thesis (MSc (Mathematical Sciences))--University of Stellenbosch, 2011.

Thesis (MSc (Mathematical Sciences))--University of Stellenbosch, 2011.

We look at fitting regression models using data from stratified cluster samples when the strata may depend in some way on the observed responses within clusters. One important subclass of examples is that of family studies in genetic epidemiology, where the probability of selecting a family into...

Limits of error for inventory differences (LEIDs) using variance propagation techniques have been discussed in previous INMM meetings. However, using the variance propagation methodology with a large number of actual inventory measurements on a monthly basis requires the use of an automated LEID...

Triple Diagonal (M) modeling is a technique to help quickly diagnose an organization`s existing production system and to identify significant improvement opportunities in executing, controlling, and planning operations. TD modeling is derived from ICAM Definition Language (IDEF 0)-also known as...

The Process Control Systems Forum (http://www.pcsforum.org) is an open, collaborative, voluntary forum established by the Department of Homeland Security. The purpose of the Forum is to accelerate the development of technology that will enhance the security, safety, and reliability of process...

Limits of error for inventory differences (LEIDs) using variance propagation techniques have been discussed in previous INMM meetings. However, using the variance propagation methodology with a large number of actual inventory measurements on a monthly basis requires the use of an automated LEID...

Two-stage predictor substitution (2SPS) and the two-stage residual inclusion (2SRI) are two approaches to instrumental variable (IV) analysis. While 2SPS and 2SRI with linear models are well-studied methods of causal inference, the properties of 2SPS and 2SRI for logistic binary outcomes have...