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STATISTICAL ANALYSIS OF DEPENDENCIES AMONG SUBMISSIONS TO MUNICIPALITIES IN THE CZECH REPUBLIC

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00327753" target="_blank" >RIV/68407700:21230/18:00327753 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    STATISTICAL ANALYSIS OF DEPENDENCIES AMONG SUBMISSIONS TO MUNICIPALITIES IN THE CZECH REPUBLIC

  • Original language description

    A statistical analysis of submissions (forms, emails, letters etc.) to municipalities in the Czech Republic is presented. The aim is to describe the behaviour of different types of the submissions (electronic, personal, sent by post etc.), provide a model of dependencies among them and study the influence of changes in laws in the Czech Republic to them. Methods for multiple time series are chosen as the main tool, namely linear and correlation analysis, and methods for detecting change points are used. Further, the number of submissions per month is modelled by gamma distribution. The obtained results are briefly commented and explained.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Informační bulletin České statistické společnosti

  • ISSN

    1210-8022

  • e-ISSN

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    19

  • Pages from-to

    1-19

  • UT code for WoS article

  • EID of the result in the Scopus database