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Rešavanje Problema Multivarijacionih Nedostajućih Anketnih Podataka Primenom Em Algoritma (Solving Problems Of Multivariate Incomplete Surveys Data With Em Algorithm Implementation)

Author

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  • Vladimir Vasić

Abstract

Problem nedostajućih podataka dosta je prisutan kod anketnog istraživanja. Ukoliko se ne utvrdi tip mehanizma nedostajućih podataka, ocene nepoznatih parametara analiziranog statističkog modela, mogu biti pristrasne. Data neželjena osobina, može se prevazići pravilnim tretiranjem nedostajućih podataka, među kojima je svakako upotreba EM algoritma.

Suggested Citation

  • Vladimir Vasić, 2018. "Rešavanje Problema Multivarijacionih Nedostajućih Anketnih Podataka Primenom Em Algoritma (Solving Problems Of Multivariate Incomplete Surveys Data With Em Algorithm Implementation)," Ekonomske ideje i praksa, Faculty of Economics and Business, University of Belgrade, issue 30, pages 35-49, September.
    • Handle: RePEc:beo:ekidpr:y:2018:i:30:p:35-49
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    More about this item

    Keywords

    multivarijacioni nedostajući podaci; MCAR test; EM algoritam; ocene (ograničene) maksimalne verodostojnosti;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

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