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How many principal components? stopping rules for determining the number of non-trivial axes revisited

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Cited by:

  1. Félix Yllana-Prieto & Jin Su Jeong & David González-Gómez, 2021. "An Online-Based Edu-Escape Room: A Comparison Study of a Multidimensional Domain of PSTs with Flipped Sustainability-STEM Contents," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
  2. Hauck, Jana & Suess-Reyes, Julia & Beck, Susanne & Prügl, Reinhard & Frank, Hermann, 2016. "Measuring socioemotional wealth in family-owned and -managed firms: A validation and short form of the FIBER Scale," Journal of Family Business Strategy, Elsevier, vol. 7(3), pages 133-148.
  3. Fuchs, Johann & Söhnlein, Doris & Weber, Brigitte & Weber, Enzo, 2016. "Ein integriertes Modell zur Schätzung von Arbeitskräfteangebot und Bevölkerung," IAB-Forschungsbericht 201610, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  4. Psaradakis, Zacharias & Vávra, Marián, 2014. "On testing for nonlinearity in multivariate time series," Economics Letters, Elsevier, vol. 125(1), pages 1-4.
  5. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
  6. Paola Zuccolotto, 2012. "Principal component analysis with interval imputed missing values," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(1), pages 1-23, January.
  7. Ard H. J. den Reijer & Pieter W. Otter & Jan P. A. M. Jacobs, 2024. "An heuristic scree plot criterion for the number of factors," Statistical Papers, Springer, vol. 65(6), pages 3991-4000, August.
  8. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
  9. Archimbaud, Aurore & Nordhausen, Klaus & Ruiz-Gazen, Anne, 2018. "ICS for multivariate outlier detection with application to quality control," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 184-199.
  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. Maria Iannario & Rosaria Romano & Domenico Vistocco, 2023. "Dyadic analysis for multi-block data in sport surveys analytics," Annals of Operations Research, Springer, vol. 325(1), pages 701-714, June.
  12. Shiuan Wan & Yi-Ping Wang, 2020. "The Comparison of Density-Based Clustering Approach among Different Machine Learning Models on Paddy Rice Image Classification of Multispectral and Hyperspectral Image Data," Agriculture, MDPI, vol. 10(10), pages 1-17, October.
  13. John A Stanturf & Scott L Goodrick & Melvin L Warren Jr. & Susan Charnley & Christie M Stegall, 2015. "Social Vulnerability and Ebola Virus Disease in Rural Liberia," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-14, September.
  14. Michael Greenacre & Patrick J. F Groenen & Trevor Hastie & Alfonso Iodice d’Enza & Angelos Markos & Elena Tuzhilina, 2023. "Principal component analysis," Economics Working Papers 1856, Department of Economics and Business, Universitat Pompeu Fabra.
  15. Marian Vavra, 2013. "Testing for linear and Markov switching DSGE models," Working and Discussion Papers WP 3/2013, Research Department, National Bank of Slovakia.
  16. Kelly P. Murillo & Eugenio M. Rocha, 2020. "Factors Influencing the Economic Behavior of the Food, Beverages and Tobacco Industry: A Case Study for Portuguese Enterprises," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 6(2), pages 99-121, December.
  17. 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.
  18. Dray, Stephane, 2008. "On the number of principal components: A test of dimensionality based on measurements of similarity between matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2228-2237, January.
  19. Roman A. Jandarov & Lianne A. Sheppard & Paul D. Sampson & Adam A. Szpiro, 2017. "A novel principal component analysis for spatially misaligned multivariate air pollution data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 3-28, January.
  20. David Juárez-Varón & Victoria Tur-Viñes & Alejandro Rabasa-Dolado & Kristina Polotskaya, 2020. "An Adaptive Machine Learning Methodology Applied to Neuromarketing Analysis: Prediction of Consumer Behaviour Regarding the Key Elements of the Packaging Design of an Educational Toy," Social Sciences, MDPI, vol. 9(9), pages 1-23, September.
  21. Gang Li & Chu Zhang, 2010. "On the Number of State Variables in Options Pricing," Management Science, INFORMS, vol. 56(11), pages 2058-2075, November.
  22. Qingyong Wang & Hong-Ning Dai & Hao Wang, 2017. "A Smart MCDM Framework to Evaluate the Impact of Air Pollution on City Sustainability: A Case Study from China," Sustainability, MDPI, vol. 9(6), pages 1-17, May.
  23. Iyetomi, Hiroshi & Nakayama, Yasuhiro & Yoshikawa, Hiroshi & Aoyama, Hideaki & Fujiwara, Yoshi & Ikeda, Yuichi & Souma, Wataru, 2011. "What causes business cycles? Analysis of the Japanese industrial production data," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 246-272, September.
  24. Yuval Paldi & Daniel S. Moran & Orna Baron-Epel & Shiran Bord & Elisheva Benartzi & Riki Tesler, 2021. "Social Capital as a Mediator in the Link between Women’s Participation in Team Sports and Health-Related Outcomes," IJERPH, MDPI, vol. 18(17), pages 1-15, September.
  25. Julie Josse & Jérôme Pagès & François Husson, 2011. "Multiple imputation in principal component analysis," 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. 5(3), pages 231-246, October.
  26. Richard R Snell, 2015. "Menage a Quoi? Optimal Number of Peer Reviewers," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-14, April.
  27. Otto Wildi, 2018. "Evaluating the Predictive Power of Ordination Methods in Ecological Context," Mathematics, MDPI, vol. 6(12), pages 1-14, December.
  28. Volker G. Kuppelwieser & Aleksa-Carina Putinas & Marina Bastounis, 2019. "Toward Application and Testing of Measurement Scales and an Example," Sociological Methods & Research, , vol. 48(2), pages 326-349, May.
  29. Joy R. Petway & Yu-Pin Lin & Rainer F. Wunderlich, 2019. "Analyzing Opinions on Sustainable Agriculture: Toward Increasing Farmer Knowledge of Organic Practices in Taiwan-Yuanli Township," Sustainability, MDPI, vol. 11(14), pages 1-27, July.
  30. Paweł Gajewski, 2017. "Sources of Regional Inflation in Poland," Eastern European Economics, Taylor & Francis Journals, vol. 55(3), pages 261-276, May.
  31. Marco Carrer & Renzo Motta & Paola Nola, 2012. "Significant Mean and Extreme Climate Sensitivity of Norway Spruce and Silver Fir at Mid-Elevation Mesic Sites in the Alps," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
  32. Peter W Donhauser & Esther Florin & Sylvain Baillet, 2018. "Imaging of neural oscillations with embedded inferential and group prevalence statistics," PLOS Computational Biology, Public Library of Science, vol. 14(2), pages 1-33, February.
  33. Jonas Eberle & Renier Myburgh & Dirk Ahrens, 2014. "The Evolution of Morphospace in Phytophagous Scarab Chafers: No Competition - No Divergence?," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-16, May.
  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. repec:dgr:rugsom:14008-eef is not listed on IDEAS
  36. Edoardo Saccenti & Marieke E. Timmerman, 2017. "Considering Horn’s Parallel Analysis from a Random Matrix Theory Point of View," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 186-209, March.
  37. Otter, Pieter W. & Jacobs, Jan P.A.M. & Reijer, Ard H.J. de, 2014. "A criterion for the number of factors in a data-rich environment," Research Report 14008-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  38. Johann Fuchs & Doris Söhnlein & Brigitte Weber & Enzo Weber, 2018. "Stochastic Forecasting of Labor Supply and Population: An Integrated Model," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(1), pages 33-58, February.
  39. Leise Kelli de Oliveira & Carla de Oliveira Leite Nascimento & Paulo Renato de Sousa & Paulo Tarso Vilela de Resende & Francisco Gildemir Ferreira da Silva, 2019. "Transport Service Provider Perception of Barriers and Urban Freight Policies in Brazil," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
  40. Johannes Forkman & Julie Josse & Hans-Peter Piepho, 2019. "Hypothesis Tests for Principal Component Analysis When Variables are Standardized," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 24(2), pages 289-308, June.
  41. Artür Manukyan & Erhan Çene & Ahmet Sedef & Ibrahim Demir, 2014. "Dandelion plot: a method for the visualization of R-mode exploratory factor analyses," Computational Statistics, Springer, vol. 29(6), pages 1769-1791, December.
  42. Klaus, Phil & Kuppelwieser, Volker G. & Heinonen, Kristina, 2023. "Quantifying the influence of customer experience on consumer share-of-category," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  43. Bauer, Jan O. & Drabant, Bernhard, 2021. "Principal loading analysis," Journal of Multivariate Analysis, Elsevier, vol. 184(C).
  44. Beaton, Derek & Chin Fatt, Cherise R. & Abdi, Hervé, 2014. "An ExPosition of multivariate analysis with the singular value decomposition in R," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 176-189.
  45. Josse, Julie & Husson, François, 2012. "Selecting the number of components in principal component analysis using cross-validation approximations," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1869-1879.
  46. Aaron Fisher & Brian Caffo & Brian Schwartz & Vadim Zipunnikov, 2016. "Fast, Exact Bootstrap Principal Component Analysis for > 1 Million," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(514), pages 846-860, April.
  47. repec:jss:jstsof:46:i04 is not listed on IDEAS
  48. Pötschke, Ivonne, 2019. "The Ties That Bind: Exploring relationship-oriented values in family firms from employees' perspective," Working Papers 3, Helmut Schmidt University, Research Cluster OPAL.
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