Search Results - subject:"PRINCIPAL COMPONENT ANALYSIS"

Biobjective sparse principal component analysis

Carrizosa, Emilio; Guerrero, Vanesa - In: Journal of Multivariate Analysis 132 (2014) C, pp. 151-159

Principal Components are usually hard to interpret. Sparseness is considered as one way to improve interpretability, and thus a trade-off between variance explained by the components and sparseness is frequently sought. In this note we address the problem of simultaneous maximization of variance...

Persistent link: https://www.econbiz.de/10010939515

Assessing patterns of spatial behavior in health studies: Their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study)

Perchoux, Camille; Kestens, Yan; Thomas, Frédérique; … - In: Social Science & Medicine 119 (2014) C, pp. 64-73

neighborhood in the overall activity space. Principal component analysis was used to identify main dimensions of spatial behavior …

Persistent link: https://www.econbiz.de/10010939546

The Aggregated Energy Security Performance Indicator (AESPI) at national and provincial level

Martchamadol, Jutamanee; Kumar, S. - In: Applied Energy 127 (2014) C, pp. 219-238

The energy security performance of Thailand has been assessed using the “Aggregated Energy Security Performance Indicator (AESPI)” for the period 1986–2030. During 1986–1991, AESPI had a sharply decreasing trend from level 9 to level 7 (maximum is 10), implying that the country’s...

Persistent link: https://www.econbiz.de/10011040372

Regional forecasts and smoothing effect of photovoltaic power generation in Japan: An approach with principal component analysis

Silva Fonseca Junior, Joao Gari da; Oozeki, Takashi; … - In: Renewable Energy 68 (2014) C, pp. 403-413

of principal component analysis, support vector regression and weather forecast data. One-day ahead regional forecasts of … persistence approach and by an approach that do not employ the principal component analysis. Moreover, the expected smoothing …

Persistent link: https://www.econbiz.de/10011044842

Adaptation and Validation of a Positive Health Scale for Adolescents

Warne, Maria; Snyder, Kristen; Gådin, Katja - In: Social Indicators Research 119 (2014) 2, pp. 1079-1093

12–16-year-olds and determined its validity and reliability using principal component analysis (PCA). In the study, the …

Persistent link: https://www.econbiz.de/10010999258

Measuring Household Wealth with Latent Trait Modelling: An Application to Malawian DHS Data

Vandemoortele, Milo - In: Social Indicators Research 118 (2014) 2, pp. 877-891

assets are problematic. The theoretical foundations of sum-scores are weak and principal component analysis (PCA) is an …

Persistent link: https://www.econbiz.de/10010999512

The KOF Economic Barometer, Version 2014: A Composite Leading Indicator for the Swiss Business Cycle

Abberger, Klaus; Siliverstovs, Boriss; Sturm, Jan-Egbert; … - KOF Swiss Economic Institute, Department of Management, … - 2014

This paper presents a composite leading indicator for the Swiss business cycle corresponding to the growth rate cycle concept. It is the result of a complete overhaul of the KOF Economic Barometer that has been published by the KOF Swiss Economic Institute on a monthly basis since 1976. In line...

Persistent link: https://www.econbiz.de/10010751751

A Methodological Intervention in Cosmopolitanism Research: Cosmopolitan Dispositions Amongst Digital Natives

Lindell, Johan; Lin, Yu-Wei - In: Sociological Research Online 19 (2014) 3, pp. 19-19

The concept cosmopolitanism has the potential of becoming one of the most interesting social scientific tools for understanding contemporary social life. Operationalising it however, has proved a difficult task. Here, researchers utilise different single indicators while making claims towards...

Persistent link: https://www.econbiz.de/10011144972

Inflation uncertainty revisited: a proposal for robust measurement

Grimme, Christian; Henzel, Steffen; Wieland, Elisabeth - In: Empirical Economics 47 (2014) 4, pp. 1497-1523

Any measure of unobserved inflation uncertainty relies on specific assumptions which are most likely not fulfilled completely. This calls into question whether an individual measure delivers a reliable signal. To reduce idiosyncratic measurement error, we propose using common information...

Persistent link: https://www.econbiz.de/10011151316

Principal differential analysis of the Aneurisk65 data set

Rosa, Matilde Dalla; Sangalli, Laura; Vantini, Simone - In: Advances in Data Analysis and Classification 8 (2014) 3, pp. 287-302

effect of the vessel surface, that functional principal component analysis is not able to detect. Copyright Springer … component analysis in the dimensional reduction of three synthetic data sets, and of a real data set concerning 65 three … sets. In particular, we compare the results provided by principal differential analysis and by functional principal …

Persistent link: https://www.econbiz.de/10010995273