This research-in-progress paper proposes the use of a statistical approach named Partial Least squares (PLS) to define the relationships between Critical Success Factors (CSFs) for ERP implementation projects. Some researchers have noted that there are relationships between these CSFs. However, no one has yet tried to define in a formal way these relationships. In this paper we present an overv...

A simple algorithm is developed for unbiased parameter identification of autoregressive (AR) signals subject to white measurement noise. It is shown that the corrupting noise variance, which determines the bias in the standard least-squares (LS) parameter estimator, can be estimated by simply using the expected LS errors when the ratio between the driving noise variance and the corrupting noise...

A possibly non-stationary autoregressive process, of unknown finite order, with possibly infinite-variance innovations is studied. The Ordinary Least Squares autoregressive parameter estimates are shown to be consistent, and their rate of convergence, which depends on the index of stability, α, is established. We also establish consistency of lag-order selection criteria in the non-stationary c...

We present an approach to synthesising the effects of ageing on human face images using three-dimensional modelling. We extract a set of three dimensional face models from a set of two-dimensional face images by fitting a Morphable Model. We propose a method to age these face models using Partial Least Squares to extract from the data-set those factors most related to ageing. These ageing relat...

Most cases settle, in employment discrimination litigation as elsewhere. Unfortunately, empirical knowledge of settlements remains limited. Data scarcity fuels untested perceptions and, all too frequently, misperceptions about how employment disputes are resolved. This Essay exploits a unique data set of successful settlements in the U.S. District Court for the Northern District of Illinois fro...