This book provides a step-by-step methodology to improving cost estimation practices for Web projects. Utilizing such techniques as stepwise regression modeling, case-base reasoning, classification and regression trees, and expert opinion, it is a powerful tool for scholars, researchers, and...

This paper proposes a novel derivation of the Hodrick-Prescott (HP) minimization problem which leads to a generalization of the Hodrick-Prescott filter. The main result is the development of a new filter to extract a localized maximum-likelihood estimate of the cycle from a series. This new...

This paper proposes a novel derivation of the Hodrick-Prescott (HP) minimization problem which leads to a generalization of the Hodrick-Prescott filter. The main result is the development of a new filter to extract a localized maximum-likelihood estimate of the cycle from a series. This new...

Over the last few decades several methods have been proposed for handling functional constraints while solving optimization problems using evolutionary algorithms (EAs). However, the presence of equality constraints makes the feasible space very small compared to the entire search space. As a...

Elsevier Science refused to publish a study of IBM workers that IBM sought to keep from public view. Occupational and environmental health (OEH) suffers from the absence of a level playing field on which science can thrive. Industry pays for a substantial portion of OEH research. Studies done by...