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Fitting a Mixture Model to Three-Mode Three-Way Data with Categorical and Continuous Variables
Hunt, Lynette A.; Basford, Kaye E. - In: Journal of Classification 16 (1999) 2, pp. 283-296
The mixture likelihood approach to clustering is most often used with two-mode two-way data to cluster one of the modes … measured on entities in different situations), an analogous procedure is needed to enable the clustering of the entities (i … situations). In this paper, it is shown that the finite mixture approach to clustering can be extended to analyze three …
Persistent link: https://www.econbiz.de/10010794931
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An Empirical Comparison of Methods for Clustering Problems: Are There Benefits from Having a Statistical Model?
Andrews, Rick L.; Brusco, Michael; Currim, Imran S.; … - In: Review of Marketing Science 8 (2010) 1, pp. 3-3
This study compares the effectiveness of statistical model-based (MB) clustering methods with that of more commonly … a regression form the basis of segments, and bicriterion clustering problems, which arise when managers wish to form …
Persistent link: https://www.econbiz.de/10008587199
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Question stability in brand image measurement - Comparing alternative answer formats and accounting for heterogeneity in descriptive models.
Dolnicar, Sara; Grun, Bettina - 2007
High quality image data on how consumers perceive brands is essential to make good brand management decisions. Prior studies reveal that brand images are not very reliable, as they are typically measured in industry, which might be due to the answer format typically used (Rungie et al., 2005)....
Persistent link: https://www.econbiz.de/10009457361
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Statistical modelling for falls count data
Ullah, Shahid; Finch, Caroline; Day, Lesley - 2010
Falls and their injury outcomes have count distributions that are highly skewed toward the right with clumping at zero, posing analytical challenges. Different modelling approaches have been used in the published literature to describe falls count distributions, often without consideration of...
Persistent link: https://www.econbiz.de/10009484631
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Finite mixture modeling of censored regression models
Karlsson, Maria; Laitila, Thomas - In: Statistical Papers 55 (2014) 3, pp. 627-642
A finite mixture of Tobit models is suggested for estimation of regression models with a censored response variable. A mixture of models is not primarily adapted due to a true component structure in the population; the flexibility of the mixture is suggested as a way of avoiding non-robust...
Persistent link: https://www.econbiz.de/10010848082
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Heterogeneous Effects of a Nonlinear Price Schedule for Outpatient Care
Farbmacher, Helmut; Ihle, Peter; Schubert, Ingrid; … - CESifo - 2013
Theoretical considerations suggest that nonlinear health care price schedules have heterogeneous effects on health care demand. In this paper, we develop and apply a finite mixture bivariate probit model to analyze whether there are heterogeneous reactions to the introduction of a nonlinear...
Persistent link: https://www.econbiz.de/10010877737
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Estimation of Public Goods Game Data
Merrett, Danielle - School of Economics, Faculty of Arts and Social Sciences - 2012
This paper compares the performance of alternative estimation approaches for Public Goods Game data. A leave-one-out cross validation was applied to test the performance of five estimation approaches. Random effects is revealed as the best estimation approach because of its un-biased and precise...
Persistent link: https://www.econbiz.de/10011262977
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Regularized Finite Mixture Models for Probability Trajectories
Shedden, Kerby; Zucker, Robert - In: Psychometrika 73 (2008) 4, pp. 625-646
Persistent link: https://www.econbiz.de/10005381772
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Causal inferences with group based trajectory models
Haviland, Amelia; Nagin, Daniel - In: Psychometrika 70 (2005) 3, pp. 557-578
Persistent link: https://www.econbiz.de/10005156188
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Group-Based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition
Haviland, Amelia M.; Jones, Bobby L.; Nagin, Daniel S. - In: Sociological Methods & Research 40 (2011) 2, pp. 367-390
This article reports on an extension of group-based trajectory modeling to address nonrandom participant attrition or truncation due to death that varies across trajectory groups. The effects of the model extension are explored in both simulated and real data. The analyses of simulated data...
Persistent link: https://www.econbiz.de/10009294313