Computing Environments for Stastistics

研究者探索和开发新的原则，为统计软件的设计，以利用现代计算能力。特别强调的是放在探索并行计算，编译和代码分析的有效使用，为统计语言。 开放源代码统计软件系统中纳入了试点实施。通过开放源代码统计软件提供的有效统计方法对于研究人员最大限度地利用实验和观测数据的能力以及教育者传授良好研究实践的能力至关重要。 本研究开发的设计原则导致软件，提高了研究人员，教师和其他用户的能力，更有效地应用这种方法在科学研究和教学，并充分利用现代高性能的计算资源。 这些原则也导致软件框架，可用于更快地提供新的统计方法，以最终用户。 在一系列领域的应用程序作为测试平台的方法和原则，在这项研究中开发。

The investigator explores and develops new principles for the designof statistical software to take advantage of modern computing power.Particular emphasis is placed on exploring the effective use ofparallel computing, compilation, and code analysis for statisticallanguages. Pilot implementations are incorporated in open sourcestatistical software systems.Effective statistical methodology made available through statisticalsoftware is critical to the ability of researchers to make maximal useof experimental and observational data, and for the ability ofinstructors to teach good research practices. The design principlesdeveloped by this research lead to software that improves the abilityof researchers, instructors, and other users of statisticalmethodology to apply this methodology more effectively in scientificresearch and teaching and to take full advantage of modernhigh-performance computational resources. These principles also leadto software frameworks that can be used to more rapidly deliver newstatistical methodology to end users. Applications in a range ofareas serve as testbeds for methods and principles developed in thisresearch.