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Discarding Variables in a Principal Component Analysis. I: Artificial Data

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  1. Véronique Cariou & Stéphane Verdun & Emmanuelle Diaz & El Qannari & Evelyne Vigneau, 2009. "Comparison of three hypothesis testing approaches for the selection of the appropriate number of clusters of variables," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 3(3), pages 227-241, December.
  2. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
  3. Markus Hertrich, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 759-794, November.
  4. Imran Ahmad & Jung-Yong Kim, 2018. "Assessment of Whole Body and Local Muscle Fatigue Using Electromyography and a Perceived Exertion Scale for Squat Lifting," IJERPH, MDPI, vol. 15(4), pages 1-12, April.
  5. Anjala Kalsie & Neha Singh, 2023. "Deal Size and Synergy Gains: A Case of Indian M&A," Vikalpa: The Journal for Decision Makers, , vol. 48(4), pages 255-268, December.
  6. Ferre, Louis, 1995. "Selection of components in principal component analysis: A comparison of methods," Computational Statistics & Data Analysis, Elsevier, vol. 19(6), pages 669-682, June.
  7. Martínez-Ventura, Constanza & Mariño-Martínez, Ricardo & Miguélez-Márquez, Javier, 2023. "Redundancy of Centrality Measures in Financial Market Infrastructures," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(4).
  8. Ali Polat & Mehmet Yesilyaprak & Raci Kaya, 2014. "Understanding Islamic Bank Selection of Customers: A Field Research from Turkish Participation Banks," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 22-38, October.
  9. Evi Neophytou & Cecilio Mar Molinero, 2004. "Predicting Corporate Failure in the UK: A Multidimensional Scaling Approach," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 677-710, June.
  10. Sergio Camiz & Valério D. Pillar, 2018. "Identifying the Informational/Signal Dimension in Principal Component Analysis," Mathematics, MDPI, vol. 6(11), pages 1-16, November.
  11. Sürücü, Lütfi & YIKILMAZ, İbrahim & MASLAKÇI, Ahmet, 2022. "Exploratory Factor Analysis (EFA) in Quantitative Researches and Practical Considerations," OSF Preprints fgd4e, Center for Open Science.
  12. Sonika Redhu & Pragati Jain, 2024. "Unveiling the nexus between water scarcity and socioeconomic development in the water-scarce countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(8), pages 19557-19577, August.
  13. Pérez, Carlos Andrés & Burbano, Carolina & Londoño, Harold, 2017. "Compás Empresarial y de Competitividad No. 1 Regiones para vivir Índice Sintético de Calidad de Vida Departamental [Business and Competitiveness Compass No. 1 Regions to live Synthetic index of dep," MPRA Paper 89759, University Library of Munich, Germany, revised Nov 2017.
  14. Peter Sinka & Peter J. Zeitsch, 2022. "Hedge Effectiveness of the Credit Default Swap Indices: a Spectral Decomposition and Network Topology Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1375-1412, December.
  15. Serena Ng, 2017. "Opportunities and Challenges: Lessons from Analyzing Terabytes of Scanner Data," NBER Working Papers 23673, National Bureau of Economic Research, Inc.
  16. Mouri Dey & Ali Arshad Chowdhury, 2016. "Social networking in Bangladesh: Boon or curse for academic engagement?," Management & Marketing, Sciendo, vol. 11(1), pages 380-393, April.
  17. Oliveira, Paulo Ricardo Silva & Silveira, José Maria Ferreira Jardim da & Magalhães, Marcelo Marques de & Souza, Roney Fraga, 2020. "International trade in GMOs: have markets paid premiums on Brazilian soybeans?," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 58(1), January.
  18. Doyo Enki & Nickolay Trendafilov, 2012. "Sparse principal components by semi-partition clustering," Computational Statistics, Springer, vol. 27(4), pages 605-626, December.
  19. Sokbae Lee & Serena Ng, 2020. "An Econometric Perspective on Algorithmic Subsampling," Annual Review of Economics, Annual Reviews, vol. 12(1), pages 45-80, August.
  20. Michael Brusco & Renu Singh & Douglas Steinley, 2009. "Variable Neighborhood Search Heuristics for Selecting a Subset of Variables in Principal Component Analysis," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 705-726, December.
  21. Pattravadee Ploykitikoon & Charles M. Weber, 2019. "Knowledge Pathways and Performance: An Empirical Study of the National Laboratories in a Technology Latecomer Country," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-37, May.
  22. André Hartmann & Martin Behnisch & Robert Hecht & Gotthard Meinel, 2024. "Prediction of residential and non-residential building usage in Germany based on a novel nationwide reference data set," Environment and Planning B, , vol. 51(1), pages 216-233, January.
  23. Colosimo Bianca Maria & Moya Ester Gutierrez & Moroni Giovanni & Petrò Stefano, 2008. "Statistical Sampling Strategies for Geometric Tolerance Inspection by CMM," Stochastics and Quality Control, De Gruyter, vol. 23(1), pages 109-121, January.
  24. Hatem Jemmali & Mohamed Salah Matoussi, 2012. "A Multidimensional Analysis of Water Poverty at A Local Scale- Application of Improved Water Poverty Index for Tunisia," Working Papers 730, Economic Research Forum, revised 2012.
  25. Emilio Castillo-Ibarra & Marco A. Alsina & Cesar A. Astudillo & Ignacio Fuenzalida-Henríquez, 2023. "PFA-Nipals: An Unsupervised Principal Feature Selection Based on Nonlinear Estimation by Iterative Partial Least Squares," Mathematics, MDPI, vol. 11(19), pages 1-25, October.
  26. Wang, Endong, 2017. "Decomposing core energy factor structure of U.S. residential buildings through principal component analysis with variable clustering on high-dimensional mixed data," Applied Energy, Elsevier, vol. 203(C), pages 858-873.
  27. Francesc Pozo & Yolanda Vidal & Josep M. Serrahima, 2016. "On Real-Time Fault Detection in Wind Turbines: Sensor Selection Algorithm and Detection Time Reduction Analysis," Energies, MDPI, vol. 9(7), pages 1-22, July.
  28. Huseyin Aytug & Siong Hook Law & Nirvikar Singh, 2018. "What Can We Learn from Global and Regional Rankings of Countries?," Millennial Asia, , vol. 9(2), pages 119-139, August.
  29. Tomson Ogwang & Abdella Abdou, 2003. "The Choice of Principal Variables for Computing some Measures of Human Well-being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 64(1), pages 139-152, October.
  30. Gweneth Leigh & Milica Muminovic & Rachel Davey, 2023. "Enjoyed by Jack but Endured by Jill: An Exploratory Case Study Examining Differences in Adolescent Design Preferences and Perceived Impacts of a Secondary Schoolyard," IJERPH, MDPI, vol. 20(5), pages 1-14, February.
  31. Pacheco, Joaquín & Casado, Silvia & Porras, Santiago, 2013. "Exact methods for variable selection in principal component analysis: Guide functions and pre-selection," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 95-111.
  32. Diego Bernardo Avanzini, 2009. "Designing Composite Entrepreneurship Indicators: An Application Using Consensus PCA," WIDER Working Paper Series RP2009-41, World Institute for Development Economic Research (UNU-WIDER).
  33. Shahab Fatima & Sabyasachi G Dastidar & Amiya Ranjan Mohanty & Vallayil Narayana Achutha Naikan, 2013. "Technique for optimal placement of transducers for fault detection in rotating machines," Journal of Risk and Reliability, , vol. 227(2), pages 119-131, April.
  34. Cumming, J.A. & Wooff, D.A., 2007. "Dimension reduction via principal variables," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 550-565, September.
  35. Gary T. Henry & James H. McMillan, 1993. "Performance Data," Evaluation Review, , vol. 17(6), pages 643-652, December.
  36. Gary T. Henry & Matthew J. McTaggart & James H. McMillan, 1992. "Establishing Benchmarks for Outcome Indicators," Evaluation Review, , vol. 16(2), pages 131-150, April.
  37. Pinto-Correia, T. & Guiomar, N. & Guerra, C.A. & Carvalho-Ribeiro, S., 2016. "Assessing the ability of rural areas to fulfil multiple societal demands," Land Use Policy, Elsevier, vol. 53(C), pages 86-96.
  38. Zeynep Reva & Oğuz Polat, 2023. "Road Rage as a Type of Violation of Well-Being in Traffic: The Case of Turkey," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
  39. Ripoll-Zarraga, Ane Elixabete & Mar-Molinero, Cecilio, 2020. "Exploring the reasons for efficiency in Spanish airports," Transport Policy, Elsevier, vol. 99(C), pages 186-202.
  40. Jolliffe, Ian, 2022. "A 50-year personal journey through time with principal component analysis," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
  41. Waßenhoven, Anna & Rennings, Michael & Laibach, Natalie & Bröring, Stefanie, 2023. "What constitutes a “Key Enabling Technology” for transition processes: Insights from the bioeconomy's technological landscape," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  42. Brusco, Michael J., 2014. "A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 38-53.
  43. Galimberti, Giuliano & Soffritti, Gabriele, 2007. "Model-based methods to identify multiple cluster structures in a data set," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 520-536, September.
  44. Smirnova, Maria M. & Rebiazina, Vera A. & Frösén, Johanna, 2018. "Customer orientation as a multidimensional construct: Evidence from the Russian markets," Journal of Business Research, Elsevier, vol. 86(C), pages 457-467.
  45. Bauer, Jan O. & Drabant, Bernhard, 2021. "Principal loading analysis," Journal of Multivariate Analysis, Elsevier, vol. 184(C).
  46. Ergun Mustafa & Uyguçgil Hakan & Atalik Özlem, 2020. "Creating a geodemographic classification model within geo-marketing: the case of Eskişehir province," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 47(47), pages 45-61, March.
  47. Kupabado, Moses Mananyi & Mensah-Bonsu, Akwasi, 2024. "Mapping of community perspectives on land acquisition for biofuel investment in northern Ghana," Land Use Policy, Elsevier, vol. 141(C).
  48. António Pedro Duarte Silva, 2002. "Discarding Variables in a Principal Component Analysis: Algorithms for All-Subsets Comparisons," Computational Statistics, Springer, vol. 17(2), pages 251-271, July.
  49. Khaireddine Ben Mansour & Philippe Gorce & Nasser Rezzoug, 2017. "The Multifeature Gait Score: An accurate way to assess gait quality," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-12, October.
  50. Pereira, Guillermo Ivan & Pereira da Silva, Patrícia & Cerqueira, Pedro André, 2020. "Electricity distribution incumbents' adaptation toward decarbonized and smarter grids: Evidence on the role market, regulatory, investment, and firm-level factors," Energy Policy, Elsevier, vol. 142(C).
  51. Montanari, Angela & Lizzani, Laura, 2001. "A projection pursuit approach to variable selection," Computational Statistics & Data Analysis, Elsevier, vol. 35(4), pages 463-473, February.
  52. Brint, Andrew & Genovese, Andrea & Piccolo, Carmela & Taboada-Perez, Gerardo J., 2021. "Reducing data requirements when selecting key performance indicators for supply chain management: The case of a multinational automotive component manufacturer," International Journal of Production Economics, Elsevier, vol. 233(C).
  53. Jérome SARACCO & Marie CHAVENT & Vanessa KUENTZ, 2010. "Clustering of categorical variables around latent variables," Cahiers du GREThA (2007-2019) 2010-02, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
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