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Personalporträtt. Foto

Jakob Bergman

Director of studies, Department of Statistics

Personalporträtt. Foto

Handling Compositional Time Series with Varying Number of Parts

Author

  • Jakob Bergman

Summary, in English

When different polling organisations conduct political party preference polls at different times, different parties might be reported. If the estimated voter shares of these polls are combined into a time series we obtain a compositional time series, but with varying number of parts, thus prohibiting the use of standard compositional time series analysis tools. We discuss the problem and suggest a solution by imputing the unreported parts. The method is applied to a short compositional time series of party preference polls from Sweden.

Department/s

  • Department of Statistics

Publishing year

2018-09-26

Language

English

Pages

26-33

Publication/Series

Austrian Journal of Statistics

Volume

47

Issue

5

Document type

Journal article

Publisher

Austrian Society for Statistics

Topic

  • Probability Theory and Statistics

Keywords

  • compositional loess
  • compositional time series
  • imputation
  • political party preference polls
  • polls Sweden

Conference name

CoDaWork 2017

Conference date

2017-06-05 - 2017-06-09

Conference place

Abbadia San Salvatore, Siena, Italy

Status

Published

ISBN/ISSN/Other

  • ISSN: 1026-597X