EFFICIENCY ENHANCED SERIES CURVES ESTIMATION

效率增强的系列曲线估计

• 批准号: 3253652
• 负责人: MICHAEL E TARTER
• 金额: $ 9.25万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-06-01 至 1993-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3253652
• 关键词: computer graphics /printing; computer program /software; mathematical model; model design /development; statistics /biometry

The overall goal of this project is to continue the development and implementation of methodology for density estimation by Fourier series methods. Subgoals include the following: (1). OPTIMIZED SERIES ESTIMATORS: The usefulness of dose-response, survival and other curve estimators will be increased by trading accuracy in one region of the curve for increased resolution in another, more important region. (2). MULTIVARIATE HYBRIDS: Work by Professor David Scott regarding multivariate nonparametric density estimation will be incorporated with the Fourier series methodology for displaying bivariate slices of density estimates. (3). SEMIPARAMETRIC DECOMPOSITION: The effectiveness of a semi-parametric method which separates density mixture symmetric subcomponents, and circumvents subcomponent model specification, will be enhanced. The advantage of this approach is that it can be used with the procedure described below to both select and fit a model, after subcomponents have been separated. (4). Q-Q AND P-P PLOT ALTERNATIVES: The methodology described in A, B and C will be applied to increase the resolution of an extended Q-Q graphical procedure. The extended procedure make it possible to select from among any fractional power or log transformation in conjunction with any member of five model systems.

该项目的总体目标是继续开发和 傅里叶级数密度估计方法实现 方法. 次级目标包括： （一）. 优化系列估计：剂量反应的有用性， 生存和其他曲线估计将增加交易的准确性 在曲线的一个区域中增加另一个区域中的分辨率， 重要区域。 （二）、 多元杂交：大卫斯科特教授关于 多变量非参数密度估计将与 显示密度二元切片的傅里叶级数方法 估算 （三）、 半参数分解：半参数分解的有效性 分离密度混合物对称子分量的方法，以及 规避子组件模型规范，将得到增强。 的 这种方法的优点是，它可以与程序一起使用 在子组件完成以下操作后， 被分开了 （四）、 Q-Q和P-P曲线备选方案：A、B和 C将被应用于提高扩展Q-Q图形的分辨率 procedure. 扩展的程序可以从以下选项中进行选择： 任何分数幂或对数变换结合任何成员 五个模型系统。