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Stochastic methods of data analysis of marketing and social surveys

Author

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  • Cherepanov, Evgeny

    (Institute of Economics and Сomplex Problems of Communication, Со. Ltd.)

Abstract

In the marketing surveys and applied sociology quantitative estimates are typically based on asymptotic characteristics of sample frequencies. To overcome the problem of heterogeneity of population «quota sampling» method that reflects the main categories of the population structure is commonly used. This paper presents a method of statistical data analysis of categorized sets based on random sampling. The method is based on conditional probabilities for statistics of binary relations on finite sets «observations — dichotomous factors». Compared to the quota based methods, the proposed approach significantly improves the accuracy of estimates for the population and allows obtaining estimates of frequencies for the categories of population for any given classification

Suggested Citation

  • Cherepanov, Evgeny, 2011. "Stochastic methods of data analysis of marketing and social surveys," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 22(2), pages 48-61.
  • Handle: RePEc:ris:apltrx:0073
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    More about this item

    Keywords

    structured finite set; sampling method; dichotomous (binary) characteristics; statistical evaluation; random sampling; quota sampling; hypergeometric distribution; marketing surveys; applied sociology;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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