课题基金 / 基金详情

Statistical Methods for Analyzing Incomplete Lifetime Data

Statistical Methods for Analyzing Incomplete Lifetime Data
分析不完整寿命数据的统计方法
批准号:
RGPIN-2016-04594
负责人:
Shen, Hua
金额:
$1.31万
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:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

项目摘要

项目成果

Shen, Hua的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
The proposed research program aims to develop advanced statistical methods to model event history data involving latent processes that can arise in medical research, social sciences and system reliability. The topics build on my past research experience and recent developments in the literature.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Statistical Methods for Analyzing Incomplete Lifetime Data
  • 批准号:
    RGPIN-2016-04594
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.62万
  • 财政年份:
    2021
  • 负责人:
    Shen, Hua
  • 依托单位:
Statistical Methods for Analyzing Incomplete Lifetime Data
  • 批准号:
    RGPIN-2016-04594
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2020
  • 负责人:
    Shen, Hua
  • 依托单位:
Statistical Methods for Analyzing Incomplete Lifetime Data
  • 批准号:
    RGPIN-2016-04594
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2019
  • 负责人:
    Shen, Hua
  • 依托单位:
Statistical Methods for Analyzing Incomplete Lifetime Data
  • 批准号:
    RGPIN-2016-04594
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2018
  • 负责人:
    Shen, Hua
  • 依托单位:
国内基金
海外基金
Computational Methods for Analyzing Toponome Data