Similar Search Results

Modellselektion in Finite Mixture PLS-Modellen. Eine Simulationsstudie zur Messung der Performanz von Informationskriterien

Sarstedt, Marko; Salcher, André - 2007

Der folgende Beitrag befasst sich mit dem Problem der Modellselektion im Finite Mixture Partial Least Squares (FIMIX-PLS)-Ansatz. Dieser Ansatz, welcher der Methodengruppe der Mischverteilungsmodelle zuzuordnen ist, ermöglicht eine simultane Schätzung der Modellparameter bei gleichzeitiger...

Persistent link: https://www.econbiz.de/10010427747

Modellselektion in Finite Mixture PLS-Modellen

Sarstedt, Marko; Salcher, André - Volkswirtschaftliche Fakultät, … - 2007

Persistent link: https://www.econbiz.de/10005649758

Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments?

Sarstedt, Marko; Becker, Jan-Michael; Ringle, Christian M. - In: Schmalenbach Business Review (sbr) 63 (2011) 1, pp. 34-62

performance and robustness of these criteria in determining an adequate number of segments has not yet been investigated … model selection criteria’s performance and of different data characteristics’ influence on the robustness of the criteria …

Persistent link: https://www.econbiz.de/10009003436

Uncovering and Treating Unobserved Heterogeneity with Fimix-Pls : Which Model Selection Criterion Provides an Appropriate Number of Segments?

Sarstedt, Marko - 2012

performance and robustness of these criteria in determining an adequate number of segments has not yet been investigated … model selection criteria's performance and of different data characteristics' influence on the robustness of the criteria …

Persistent link: https://www.econbiz.de/10013114495

Modellselektion in Finite Mixture PLS-Modellen : eine Simulationsstudie zur Messung der Performanz von Informationskriterien

Sarstedt, Marko; Salcher, André - 2007

Persistent link: https://www.econbiz.de/10010442185

Heterogenität in varianzbasierter Strukturgleichungsmodellierung : eine Analyseprozedur zur systematischen Anwendung von FIMIX-PLS

Sarstedt, Marko; Ringle, Christian M. - In: Marketing : ZFP ; journal of research and management 30 (2008) 4, pp. 239-255

Persistent link: https://www.econbiz.de/10003779652

Genetic algorithm segmentation in partial least squares structural equation modeling

Ringle, Christian M.; Sarstedt, Marko; Schlittgen, Rainer - In: OR spectrum : quantitative approaches in management 36 (2014) 1, pp. 251-276

Persistent link: https://www.econbiz.de/10010251251

Market segmentation with mixture regression models : understanding measures that guide model selection

Sarstedt, Marko - In: Journal of targeting, measurement and analysis for marketing 16 (2007/08) 3, pp. 228-246

Persistent link: https://www.econbiz.de/10003760630

How collinearity affects mixture regression results

Becker, Jan-Michael; Ringle, Christian M.; Sarstedt, Marko - In: Marketing letters : a journal of research in marketing 26 (2015) 4, pp. 643-659

Persistent link: https://www.econbiz.de/10011399174

Genetic Algorithm Segmentation in Partial Least Squares Structural Equation Modeling

Ringle, Christian M.; Sarstedt, Marko; Schlittgen, Rainer - 2014

When applying the partial least squares structural equation modeling (PLSSEM) method, the assumption that the data stem from a single homogeneous population is often unrealistic. For the full set of data, unobserved heterogeneity in the PLS path model estimates may result in misleading...

Persistent link: https://www.econbiz.de/10014149551