Search Results - subject:"PRINCIPAL COMPONENT ANALYSIS"

Dynamic sensitivity analysis of long-running landslide models through basis set expansion and meta-modelling

Rohmer, Jeremy - In: Natural Hazards 73 (2014) 1, pp. 5-22

principal component analysis, to reduce the output dimensionality to a few components, each of them being interpreted as a …

Persistent link: https://www.econbiz.de/10010995833

Optimization of River Water Quality Surveys by Multivariate Analysis of Physicochemical, Bacteriological and Ecotoxicological Data

Gomes, Ana; Pires, José; Figueiredo, Sónia; … - In: Water Resources Management 28 (2014) 5, pp. 1345-1361

principal component analysis (PCA) and cluster analysis (CA). These statistical methodologies were applied to physicochemical …

Persistent link: https://www.econbiz.de/10010997260

Wind forecasting using Principal Component Analysis

Skittides, Christina; Früh, Wolf-Gerrit - In: Renewable Energy 69 (2014) C, pp. 365-374

We present a new statistical wind forecasting tool based on Principal Component Analysis (PCA), which is trained on …

Persistent link: https://www.econbiz.de/10011045776

Pricing of liquidity risks: Evidence from multiple liquidity measures

Kim, Soon-Ho; Lee, Kuan-Hui - In: Journal of Empirical Finance 25 (2014) C, pp. 112-133

We investigate the pricing implication of liquidity risks in the liquidity-adjusted capital asset pricing model of Acharya and Pedersen (2005), using multiple liquidity measures and their principal component. While we find that the empirical results are sensitive to the liquidity measure used in...

Persistent link: https://www.econbiz.de/10010753044

Design of a myoelectric prosthetic hand implementing postural synergy mechanically

Li, Shunchong; Sheng, Xinjun; Liu, Honghai; Zhu, Xiangyang - In: Industrial Robot: An International Journal 41 (2014) 5, pp. 447-455

different grasp modes are performed on a “full actuation” robotic hand, and principal component analysis (PCA) method is used to …

Persistent link: https://www.econbiz.de/10014835444

Model-based clustering for multivariate functional data

Jacques, Julien; Preda, Cristian - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 92-106

The first model-based clustering algorithm for multivariate functional data is proposed. After introducing multivariate functional principal components analysis (MFPCA), a parametric mixture model, based on the assumption of normality of the principal component scores, is defined and estimated...

Persistent link: https://www.econbiz.de/10010719669

Das neue KOF Konjunkturbarometer - Version 2014

Abberger, Klaus; Graff, Michael; Siliverstovs, Boriss; … - In: KOF-Analysen : Konjunkturanalyse: Prognose ... 77 (2014) 1, pp. 91-106

Persistent link: https://www.econbiz.de/10010338055

Are there common factors in individual commodity futures returns?

Daskalaki, Charoula; Kostakis, Alexandros; … - In: Journal of banking & finance 40 (2014), pp. 346-363

Persistent link: https://www.econbiz.de/10010402662

Farm types and their economic characterization in complex agro-ecosystems for informed extension intervention : study from coastal West Bengal, India

Goswami, Rupak; Chatterjee, Soumitra; Prasad, Binoy - In: Agricultural and Food Economics : AFE 2 (2014), pp. 1-24

techniques like Principal Component Analysis (PCA) and Cluster Analysis (CA) may be used for a wide variety of situations …

Persistent link: https://www.econbiz.de/10010376449

Which dimensions of social responsibility concern financial investors?

Girerd-Potin, Isabelle; Jimenez-Garcès, Sonia; Louvet, … - In: Journal of business ethics : JOBE 121 (2014) 4, pp. 559-576

Persistent link: https://www.econbiz.de/10010379904