Search Results - subject:"PRINCIPAL COMPONENT ANALYSIS"

A pure L1-norm principal component analysis

Brooks, J.P.; Dulá, J.H.; Boone, E.L. - In: Computational Statistics & Data Analysis 61 (2013) C, pp. 83-98

The L1 norm has been applied in numerous variations of principal component analysis (PCA). An L1-norm PCA is an …

Persistent link: https://www.econbiz.de/10011056548

A COMPARISON OF THE VAR MODEL AND THE PC FACTOR MODEL IN FORECASTING INFLATION IN MONTENEGRO

Lipovina-Božović, Milena - In: Economic Annals 58 (2013) 198, pp. 115-136

Montenegro started using the euro in 2002 and regained independence in 2006. Its main economic partners are European countries, yet inflation movements in Montenegro do not coincide with consumer price fluctuations in the eurozone. Trying to develop a useful forecasting model for Montenegrin...

Persistent link: https://www.econbiz.de/10011039109

An aggregated energy security performance indicator

Martchamadol, Jutamanee; Kumar, S. - In: Applied Energy 103 (2013) C, pp. 653-670

An “Aggregated Energy Security Performance Indicator (AESPI)” has been developed by considering 25 individual indicators representing social, economy and environmental dimensions. The principle used, data required and the methodology for the development of AESPI have been detailed. AESPI...

Persistent link: https://www.econbiz.de/10011041355

Predictive power of principal components for single-index model and sufficient dimension reduction

Artemiou, Andreas; Li, Bing - In: Journal of Multivariate Analysis 119 (2013) C, pp. 176-184

In this paper we demonstrate that a higher-ranking principal component of the predictor tends to have a stronger correlation with the response in single index models and sufficient dimension reduction. This tendency holds even though the orientation of the predictor is not designed in any way to...

Persistent link: https://www.econbiz.de/10011042065

Understanding the structure of bin packing problems through principal component analysis

López-Camacho, Eunice; Terashima-Marín, Hugo; Ochoa, … - In: International Journal of Production Economics 145 (2013) 2, pp. 488-499

This paper uses a knowledge discovery method, Principal Component Analysis (PCA), to gain a deeper understanding of the …

Persistent link: https://www.econbiz.de/10011043334

Understanding the uptake of organic farming: Accounting for heterogeneities among Irish farmers

Läpple, Doris; Kelley, Hugh - In: Ecological Economics 88 (2013) C, pp. 11-19

behaviour to control for social influence and technical constraints. Cluster analysis and principal component analysis are …

Persistent link: https://www.econbiz.de/10011043613

Investigating causal relationship between social capital and microfinance: Implications for rural development

Akram, Sohail; Routray, Jayant Kumar - In: International Journal of Social Economics 40 (2013) July, pp. 760-776

/methodology/approach – Household level primary data was collected from a rural district of Pakistan. Principal component analysis (PCA) was applied to …

Persistent link: https://www.econbiz.de/10010742441

A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method

Mokhtari, Mohammad; Adnan, Robiah; Busu, Ibrahim - In: Natural Hazards 65 (2013) 3, pp. 1249-1274

The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study,...

Persistent link: https://www.econbiz.de/10010996524

Principal component histograms from interval-valued observations

Le-Rademacher, J.; Billard, L. - In: Computational Statistics 28 (2013) 5, pp. 2117-2138

">2012</CitationRef>) show that for a principal component analysis on interval-valued observations, the resulting observations in … values for the principal components to be used as input in further analysis. Other existing methods of principal component … analysis for interval-valued data construct the principal components, themselves, as intervals which implicitly assume that all …

Persistent link: https://www.econbiz.de/10010998454

Generalized joint Procrustes analysis

Adachi, Kohei - In: Computational Statistics 28 (2013) 6, pp. 2449-2464

In this paper, we propose a generalized version of Adachi’s (Psychometrika 74:667–683, <CitationRef CitationID="CR1">2009</CitationRef>) Joint Procrustes Analysis (GJPA), in order to transform the principal component score and loading matrices obtained for multiple data sets of the same size. The transformation is made so that...</citationref>

Persistent link: https://www.econbiz.de/10010998509