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    Survey sampling with nonparametric methods: endogenous post-stratification and penalized instrumental variables

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    http://hdl.handle.net/10217/67995
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    Abstract
    Two topics related to the common theme of nonparametric techniques in survey sampling are examined. The first topic explores the estimation of a finite population mean via post-stratification. Post-stratification is used to improve the precision of survey estimators when categorical auxiliary information is available from external sources. In natural resource surveys, such information may be obtained from remote sensing data classified into categories and displayed as maps. These maps may be based on classification models fitted to the sample data. Such "endogenous post-stratification" ...
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    Author(s)
    Dahlke, Mark

    Advisor(s)
    Breidt, F. Jay

    Date Issued
    2012
    Format
    born digital; doctoral dissertations
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    • 2000-2019 - CSU Theses and Dissertations
    • Theses and Dissertations - Department of Statistics

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