Now showing items 1-4 of 4

    • Empirical Likelihood Inference for Two-Sample Problems 

      Yan, Ying (University of Waterloo, 2010-09-30)
      In this thesis, we are interested in empirical likelihood (EL) methods for two-sample problems, with focus on the difference of the two population means. A weighted empirical likelihood method (WEL) for two-sample problems ...
    • Empirical Likelihood Method for Ratio Estimation 

      Dong, Bin (University of Waterloo, 2011-03-17)
      Empirical likelihood, which was pioneered by Thomas and Grunkemeier (1975) and Owen (1988), is a powerful nonparametric method of statistical inference that has been widely used in the statistical literature. In this ...
    • Empirical Likelihood Methods for Some Incomplete Data Problems 

      Che, Menglu (University of Waterloo, 2020-12-18)
      Incomplete data often brings difficulty to estimations and inferences. A complete case (CC) analysis, in most cases, leads to biased estimates, or it may not have the desired estimation efficiency. In this thesis, we develop ...
    • Semiparametric Empirical Likelihood Inference under Two-sample Density Ratio Models 

      Yuan, Meng (University of Waterloo, 2021-08-27)
      The semiparametric density ratio model (DRM) provides a flexible and useful platform for combining information from multiple sources. It has been widely used in many fields. This thesis considers several important inference ...

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