The estimation of genotype-phenotype relationships from family data and of animal abundance from capture-recapture data with frequent capture occasions: A semiparametric approach.

从家族数据估计基因型-表型关系，从频繁捕获的捕获-再捕获数据估计动物丰度：半参数方法。

• 批准号: DP0450547
• 负责人: Prof Richard Huggins
• 金额: $ 13.58万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-03-01 至 2007-09-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0450547
• 关键词: estimation; genotype; phenotype; relationships; family

Semiparametric statistical methods allow researchers to only model those features of their data that are of interest, but still allow standard statistical inferences to be made about these features. The aim here is to develop non standard applications of semiparametric statistical methods in the estimation of genotype-phenotype relationships from family data and the estimation of animal abundance from capture-recapture data. The methods will be applied to real data and their theoretical properties developed. The practical significance of the project is the flexible new statistical methods that will become available to researchers. The theoretical significance will be the insights into semiparametric methods gained by developing these nonstandard applications. The expected outcomes are the new statistical procedures and the resulting theoretical insights into semiparametric statistics.

半参数统计方法允许研究人员只对他们感兴趣的数据特征进行建模，但仍然允许对这些特征进行标准的统计推断。这里的目的是开发非标准应用的半参数统计方法估计的基因型-表型关系的家庭数据和估计的动物丰度捕获-再捕获数据。这些方法将被应用于真实的数据和它们的理论特性的发展。该项目的实际意义在于，研究人员可以使用灵活的新统计方法。理论意义将是通过开发这些非标准应用程序获得的半参数方法的见解。预期的结果是新的统计程序和由此产生的理论见解半参数统计。