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Software for Changepoints Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013580" target="_blank" >RIV/62690094:18450/17:50013580 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Software for Changepoints Detection

  • Original language description

    The paper concerns with freely available software as the possibility to solve the task of detection and statistical evaluation of changes in occurrences (counts, rates, or proportions) of some event, when data is collect over time or in dependence on a quantitative attribute. Freely available software implementing piecewise linear regression, joinpoint model, segmented regression, changepoints, and adaptive regression splines is selected. The article describes and compares the main features of selected software. Public available data (unemployment rates) are used to compare solutions implemented in selected R packages (earth, changepoint, and segmented) and in the stand-alone Joinpoint Regression Program (JP). The results are not identical partly due to the properties of data and mostly due to different approaches to CP solutions. JP support user to avoid some problems with data collected in time, with difficulties related to assumptions of parametric linear model, or multiple hypotheses testing.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Mathematical methods in economics (MME 2017) : conference proceedings

  • ISBN

    978-80-7435-678-0

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    6

  • Pages from-to

    673-678

  • Publisher name

    Gaudeamus

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Sep 13, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000427151400115