Multivariate dimension reduction schemes could be very useful in limiting the number of random statistical variables needed to represent distributed wind power spatial diversity in transmission integration studies. In this ...
Background:
Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique for analyzing metabolomic data. However, ...
Kearney, Colm; Muckley, Cal(University College Dublin. School of Business. Centre for Financial Markets, 2006-06)
Using daily data for a select set of four Asian exchange rates, namely the Hong Kong dollar, the Singapore dollar, the Taiwan dollar and the Thailand baht, from October 1985 to October 2002, we apply principal
components ...
This paper describes the development, in an Irish context, of a 3-factor, 28-item version the Systemic Clinical Outcome and Routine Evaluation (SCORE) questionnaire for assessing progress in family therapy. The 40-item ...
Chevalier, Arnaud(University College Dublin. School of Economics, 2004-02)
Focussing on recent UK graduates, a wage gap of 12% is found. The unexplained component of the gap is small and a large fraction of the gap can be explained by subject choice, job characteristics, motivation and expectation ...
Are, Wasiu Adekunle(University College Dublin. School of Economics, 2012-12)
This study analysed the contribution of economic growth and redistribution components to aggregate poverty changes in Ireland from 1987-2005, using the Shapley value decomposition approach. The analysis used the household ...
This paper considers cascaded, lumped, flexible systems, which may be short and non-uniform, which are driven by an arbitrarily moving boundary. Such systems exhibit vaguely wavelike behaviour yet defy classical wave ...
The fungus Cunninghamella elegans is a useful model of human catabolism of xenobiotics. In this paper, the biotransformation of fluorinated biphenyls by C. elegans was investigated by analysis of the culture supernatants ...
Capacity credits are widely used to quantify the
ability of different generating technologies to support demand.
Most practical capacity credit calculations are based on detailed
risk modelling, however a wide range of ...