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Formulas for estimating sample sizes are presented to provide specified levels of power for tests of significance from a longitudinal design allowing for subject attrition. These formulas are derived for a comparison of two groups in terms of single degree-of-freedom contrasts of population...
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clustering approach into the usual panel data model specification. A case study in the field of R&D variables illustrates the …
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the Self-Organizing Map (SOM). Through the use of SOM clustering and data visualization can be conducted simultaneously …
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clustering models based on Gaussian mixture models (GMMs) which are fitted with the use of the recently developed variational ….e., the temporal usage behaviour, and developing clustering algorithms suitable for high dimensional data based on the use of …
Persistent link: https://www.econbiz.de/10009438102
in terms of higher education systems. The clustering shows, that - with some exceptions (notably the United Kingdom and …
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: Based on an online survey of 40 participants, a clustering analysis was conducted using the unsupervised learning method and … hierarchical clustering (R and R Studio). Results: Five clusters representing different profiles were derived, showing how actors …
Persistent link: https://www.econbiz.de/10015194805
In the present paper we use a balanced bank panel data set to obtain an inference on two dimensions of the asymmetric response of bank lending to interest rate changes. The cross-sectional dimension is captured by group-specific parameters whereby each bank's group membership is estimated along...
Persistent link: https://www.econbiz.de/10013370002