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Metodi di Forward Search per la ricerca di outlier: un’applicazione ai dati Istat sui matrimoni nel 2011

Author

Listed:
  • Simona Toti

    (Italian National Institute of Statistics)

  • Romina Filippini

    (Italian National Institute of Statistics)

  • Francesco Amato

    (Italian National Institute of Statistics)

  • Claudia Iaccarino

    (Italian National Institute of Statistics)

Abstract

Forward Search (FS) is an iterative method to detect the presence of groups of outliers in the case of regression or multivariate data. In the present paper, FS is applied to Istat data on marriages celebrated in 2011 and to the characteristics of partners. The aim is to identify Provinces and Municipalities with significantly different characteristics from the other Italian Provinces and Municipalities. The analysis was conducted referring to three FS models: the multivariate, the compositional and the regression model. The comparison of the results obtained highlights the importance of the reference framework to define an observation as outlier. The analysis was performed using SiRiO (Outlier Research System), a software developed in Istat to make the FS analysis available for non- expert users.

Suggested Citation

  • Simona Toti & Romina Filippini & Francesco Amato & Claudia Iaccarino, 2014. "Metodi di Forward Search per la ricerca di outlier: un’applicazione ai dati Istat sui matrimoni nel 2011," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 16(1-2), pages 31-44.
    • Handle: RePEc:isa:journl:v:16:y:2014:i:1-2:p:31-44
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    More about this item

    Keywords

    Outlier; Forward Search; .;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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