IDEAS home Printed from https://ideas.repec.org/a/khe/journl/v5y2013i4p56-61.html
   My bibliography  Save this article

Analysis of Variance (Anova) Used to Verify the Significance of the Development Regions in Characterizing the Standard of Living and Quality of Life

Author

Listed:
  • Claudia Gabriela Bentoiu

    ()

  • Emilia Gogu

    ()

  • Gratiela Ghic

    ()

  • Alexandra Moraru

    () ("Dimitrie Cantemir" Christian University)

Abstract

According to the specific literature, the national and international statistics for ranking countries (regions) we use the ranking method. The ranking method has the advantage that the hierarchy of territorial units can use local variables expressed in absolute values, no matter the structure or the intensity. Territorial units are complex statistical units in which the variable values are obtained either by aggregation or as relative values based on a report, either as medium measures. Being partial synthetic values calculated at the local level it is almost impossible to know the analytical function expressing the shape and intensity of the relationship that shaped distribution by regions within each region to be in the same relation of interdependence.

Suggested Citation

  • Claudia Gabriela Bentoiu & Emilia Gogu & Gratiela Ghic & Alexandra Moraru, 2013. "Analysis of Variance (Anova) Used to Verify the Significance of the Development Regions in Characterizing the Standard of Living and Quality of Life," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(4), pages 56-61, December.
  • Handle: RePEc:khe:journl:v:5:y:2013:i:4:p:56-61
    as

    Download full text from publisher

    File URL: http://orizonturi.ucdc.ro/arhiva/2013_khe_4_pdf/khe_vol_5_iss_4_56to61.pdf
    Download Restriction: no

    File URL: http://orizonturi.ucdc.ro/arhiva/2013_khe_4_pdf/khe_vol_5_iss_4_56to61.pdf
    Download Restriction: no

    More about this item

    Keywords

    Analysis of variance; standard of living and quality of life;

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:khe:journl:v:5:y:2013:i:4:p:56-61. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Adi Sava). General contact details of provider: http://edirc.repec.org/data/ffucdro.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.