RooStats项目
The RooStats Project
摘要：
RooStats是一个创建LHC数据分析所需的高级统计工具的项目，重点是发现，置信区间和组合测量。我们的想法是将主要的统计技术作为一组具有一致接口的C++类提供，以便可以以通用的方式用于任意模型和数据集。这些类构建在RooFit软件包之上，该软件包提供了轻松创建概率模型、分析组合和结果数字发布的功能。我们将详细介绍RooStats不同统计方法的设计和实现。我们将描述各种类别的区间估计和假设检验取决于不同的统计技术，如那些基于似然函数，或频率或baidian统计。这些方法可以应用于复杂的问题，包括具有多个感兴趣的参数和各种讨厌的参数的情况。
英文摘要：
RooStats is a project to create advanced statistical tools required for the analysis of LHC data, with emphasis on discoveries, confidence intervals, and combined measurements. The idea is to provide the major statistical techniques as a set of C++ classes with coherent interfaces, so that can be used on arbitrary model and datasets in a common way. The classes are built on top of the RooFit package, which provides functionality for easily creating probability models, for analysis combinations and for digital publications of the results. We will present in detail the design and the implementation of the different statistical methods of RooStats. We will describe the various classes for interval estimation and for hypothesis test depending on different statistical techniques such as those based on the likelihood function, or on frequentists or bayesian statistics. These methods can be applied in complex problems, including cases with multiple parameters of interest and various nuisance parameters.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
