scholarly journals Identifying typical trajectories in longitudinal data: modelling strategies and interpretations

2020 ◽  
Vol 35 (3) ◽  
pp. 205-222 ◽  
Author(s):  
Moritz Herle ◽  
Nadia Micali ◽  
Mohamed Abdulkadir ◽  
Ruth Loos ◽  
Rachel Bryant-Waugh ◽  
...  
Keyword(s):  
Longitudinal Data ◽  
Data Modelling ◽  
Modelling Strategies

scholarly journals An overview of mixture modelling for latent evolutions in longitudinal data: Modelling approaches, fit statistics and software

2020 ◽  
Vol 43 ◽  
pp. 100323 ◽  
Author(s):  
Gavin van der Nest ◽  
Valéria Lima Passos ◽  
Math J.J.M. Candel ◽  
Gerard J.P. van Breukelen
Keyword(s):  
Longitudinal Data ◽  
Data Modelling ◽  
Mixture Modelling ◽  
Fit Statistics ◽  
Modelling Approaches

scholarly journals Digital Data in Modelling of Landslide Risk Using the Register of Slope Deformations of the GEOFOND CR

Geografie ◽  
1997 ◽  
Vol 102 (4) ◽  
pp. 254-269
Author(s):  
Vít Voženílek
Keyword(s):  
Categorical Data ◽  
Geographical Information Systems ◽  
Digital Data ◽  
Geographical Information ◽  
Landslide Risk ◽  
Data Modelling ◽  
The Czech Republic ◽  
Modelling Strategies ◽  
Available Information ◽  
Modelling Approach

Landslides are an important landscape problem in the Carpathian part of the Czech Republic. In order to establish which slopes are most at risk, their spatial incidence can be modelled using techniques of geographical information systems together with a database describing past landslides. Three modelling strategies - rule-based modelling, ordinal modelling and categorical data modelling - are adopted and compared. It is suggested that the categorical data modelling approach is the most general and makes the best use of the available information.

Measures Collected on the USMA Class of 1998 as Part of the Baseline Officer Longitudinal Data Set (BOLDS)

2002 ◽  
Author(s):  
Lynn M. Milan ◽  
Dennis R. Bourne ◽  
Michelle M. Zazanis ◽  
Paul T. Bartone
Keyword(s):  
Longitudinal Data ◽  
Data Set
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