Handling Compositional Time Series with Varying Number of Parts

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

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.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Sannolikhetsteori och statistik

Nyckelord

Originalspråkengelska
Sidor (från-till)26-33
TidskriftAustrian Journal of Statistics
Volym47
Utgåva nummer5
StatusPublished - 2018 sep 26
PublikationskategoriForskning
Peer review utfördJa
EvenemangCoDaWork 2017: The 7th International Workshop on Compositional Data Analysis - Parco Museo Minerario, Abbadia San Salvatore, Siena, Italien
Varaktighet: 2017 jun 52017 jun 9
http://www.compositionaldata.com/codawork2017/

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