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  • 1. Towards nonnegative regression weights for survey samples Archived
    Articles and reports: 12-001-X20050018091
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    Procedures for constructing vectors of nonnegative regression weights are considered. A vector of regression weights in which initial weights are the inverse of the approximate conditional inclusion probabilities is introduced. Through a simulation study, the weighted regression weights, quadratic programming weights, raking ratio weights, weights from logit procedure, and weights of a likelihood-type are compared.

    Release date: 2005-07-21
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  • 1. Towards nonnegative regression weights for survey samples Archived
    Articles and reports: 12-001-X20050018091
    Description:

    Procedures for constructing vectors of nonnegative regression weights are considered. A vector of regression weights in which initial weights are the inverse of the approximate conditional inclusion probabilities is introduced. Through a simulation study, the weighted regression weights, quadratic programming weights, raking ratio weights, weights from logit procedure, and weights of a likelihood-type are compared.

    Release date: 2005-07-21
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