Estimation of treatment effects under combined sampling and experimental designs

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dc.contributor.author Smith, Christina D.
dc.date.accessioned 2007-04-27T20:34:40Z
dc.date.available 2007-04-27T20:34:40Z
dc.date.issued 2007-04-27T20:34:40Z
dc.identifier.uri http://hdl.handle.net/2097/282
dc.description.abstract Over the years sampling and experimental design have developed independently with little mutual compatibility. However, many studies do (or should) involve both a sampling design and an experimental design. For example, a polluted site may be exhaustively partitioned into area plots, a random sample of plots selected, and the selected plots randomly assigned to three clean-up regimens. In this research the relationship between sampling design and experimental design is discussed and a basic review of each is given. An estimator that combines sampling and experimental design is presented and it's development explained. Properties of this estimator will be derived and some applications of the estimator will be examined. Finally, a simulation study comparing this estimator with the traditional estimator will be presented. en
dc.language.iso en_US en
dc.publisher Kansas State University en
dc.subject Sampling design en
dc.subject Experimental design en
dc.subject Combined estimation en
dc.subject Horvitz-Thompson estimation en
dc.subject Treatment effect en
dc.title Estimation of treatment effects under combined sampling and experimental designs en
dc.type Dissertation en
dc.description.degree Doctor of Philosophy en
dc.description.level Doctoral en
dc.description.department Department of Statistics en
dc.description.advisor Dallas E. Johnson en
dc.subject.umi Statistics (0463) en
dc.date.published 2007 en
dc.date.graduationmonth May en


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