References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Sergio Venturini, Mehmet Mehmetoglu: plssem: A Stata Package for Structural Equation Modeling with Partial Least Squares (2019) not zbMATH
  2. Fahmy, Thierry; Bellétoile, Arnaud: Algorithm 983: Fast computation of the non-asymptotic Cochran’s (Q) statistic for heterogeneity detection (2017)
  3. Tenenhaus, Michel; Tenenhaus, Arthur; Groenen, Patrick J. F.: Regularized generalized canonical correlation analysis: a framework for sequential multiblock component methods (2017)
  4. Thierry Fahmy; Arnaud Bellétoile: Algorithm 983: Fast Computation of the Non-Asymptotic Cochran’s Q Statistic for Heterogeneity Detection (2017) not zbMATH
  5. Hwang, Heungsun; Takane, Yoshio: Generalized structured component analysis. A component-based approach to structural equation modeling (2015)
  6. Gatignon, Hubert: Statistical analysis of management data (2014)
  7. Tenenhaus, Arthur; Tenenhaus, Michel: Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis (2014)
  8. Henseler, Jörg; Sarstedt, Marko: Goodness-of-fit indices for partial least squares path modeling (2013)
  9. Armin Monecke; Friedrich Leisch: semPLS: Structural Equation Modeling Using Partial Least Squares (2012) not zbMATH
  10. Amza, Gheorghe; Paris, Adrian; Târcolea, Constantin; Carp, Victor; Nimigean, Horia: Risk and factor analysis (2010)
  11. Henseler, Jörg: On the convergence of the partial least squares path modeling algorithm (2010)
  12. Vinzi, V. Esposito; Trinchera, L.; Squillacciotti, S.; Tenenhaus, M.: REBUS-PLS: A response-based procedure for detecting unit segments in PLS path modelling (2008)
  13. Oleg Nenadic; Michael Greenacre: Correspondence Analysis in R, with Two- and Three-dimensional Graphics: The ca Package (2007) not zbMATH
  14. Nenadić, Oleg; Greenacre, Michael: Computation of multiple correspondence analysis, with code in (R) (2006)