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1-2 of 2 results for Author: guo liang tian (sorted by Publication Date, showing all)
  1. Incomplete Categorical Data Design

    Non-Randomized Response Techniques for Sensitive Questions in Surveys

    By Guo-Liang Tian, Man-Lai Tang

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer the questions or provide untruthful answers to protect their privacy. This creates a challenge in drawing valid inferences from potentially...

    Published August 17th 2013 by Chapman and Hall/CRC

  2. Bayesian Missing Data Problems

    EM, Data Augmentation and Noniterative Computation

    By Ming T. Tan, Guo-Liang Tian, Kai Wang Ng

    Series: Chapman & Hall/CRC Biostatistics Series

    Bayesian Missing Data Problems: EM, Data Augmentation and Noniterative Computation presents solutions to missing data problems through explicit or noniterative sampling calculation of Bayesian posteriors. The methods are based on the inverse Bayes formulae discovered by one of the author in 1995....

    Published August 26th 2009 by Chapman and Hall/CRC

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