Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Statistics for Categorical Surveys—A New Strategy for Multivariate Classification and Determining Variable Importance
Surveys can be a rich source of information. However, the extraction of underlying variables from the analysis of mixed categoric and numeric survey data is fraught with complications when using grouping techniques such as clustering or ordination. Here I present a new strategy to deal with classification of households into clusters, and identification of cluster membership for new households. The strategy relies on probabilistic methods for identifying variables underlying the clusters. It incorporates existing methods that (i) help determine the optimal cluster number, (ii) directly identify variables underlying clusters, and (iii) identify the variables important for classifying new cases into existing clusters. The strategy uses the R statistical software, which is freely accessible to anyone.
Statistics for Categorical Surveys—A New Strategy for Multivariate Classification and Determining Variable Importance
Surveys can be a rich source of information. However, the extraction of underlying variables from the analysis of mixed categoric and numeric survey data is fraught with complications when using grouping techniques such as clustering or ordination. Here I present a new strategy to deal with classification of households into clusters, and identification of cluster membership for new households. The strategy relies on probabilistic methods for identifying variables underlying the clusters. It incorporates existing methods that (i) help determine the optimal cluster number, (ii) directly identify variables underlying clusters, and (iii) identify the variables important for classifying new cases into existing clusters. The strategy uses the R statistical software, which is freely accessible to anyone.
Statistics for Categorical Surveys—A New Strategy for Multivariate Classification and Determining Variable Importance
Alexander Herr (Autor:in)
2010
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Metadata by DOAJ is licensed under CC BY-SA 1.0
| British Library Conference Proceedings | 2005
Categorical data, repeated-measurement research designs, and regional industrial surveys
| Taylor & Francis Verlag | 1980
A general multivariate analysis approach for determining bid mark-up strategy
| Online Contents | 2005
A general multivariate analysis approach for determining bid mark-up strategy
| British Library Online Contents | 2005
Land Contamination: surveys and classification
| British Library Conference Proceedings | 1992