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Statistical Methods for Model Diagnosis and Robust Statistical Procedures under Model Misspecification

Statistical Methods for Model Diagnosis and Robust Statistical Procedures under Model Misspecification
模型诊断的统计方法和模型错误指定下的稳健统计程序
批准号:
436110-2013
负责人:
Zhou, Qian
金额:
$1.17万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
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英文摘要
Model misspecification is a problem of great importance in statistical analysis as misspecified models can lead to estimation inconsistency and/or estimation inefficiency. My research program focuses on establishing rigorous statistical tests and diagnostic tools for model misspecification and developing robust estimation and inference procedures under model misspecification.
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Statistical Methods for Model Diagnosis and Robust Statistical Procedures under Model Misspecification
  • 批准号:
    436110-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.17万
  • 财政年份:
    2015
  • 负责人:
    Zhou, Qian
  • 依托单位:
Statistical Methods for Model Diagnosis and Robust Statistical Procedures under Model Misspecification
  • 批准号:
    436110-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.17万
  • 财政年份:
    2014
  • 负责人:
    Zhou, Qian
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data