Abstract
The paper shows how the grade methods (correspondence-cluster analysis and overrepresentation maps) can help in analysis of data, which consists of repeated mesurements for a set of objects. Their usefulness will be discussed on a real data example. The analyzed data describe how the Polish retail firms use capital sources and what are their economic conditions.
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Ciok, A. (2002). Grade Analysis of Repeated Multivariate Measurements. In: Grzegorzewski, P., Hryniewicz, O., Gil, M.Á. (eds) Soft Methods in Probability, Statistics and Data Analysis. Advances in Intelligent and Soft Computing, vol 16. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1773-7_26
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DOI: https://doi.org/10.1007/978-3-7908-1773-7_26
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1526-9
Online ISBN: 978-3-7908-1773-7
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