{"title":"了","authors":"R. Gutierrez","doi":"10.1002/wics.116","DOIUrl":null,"url":null,"abstract":"Stata is general‐purpose statistical software. Currently in version 11, Stata is known for its wide range of statistical routines, ease of data management, and publication‐quality graphics. Stata is available on virtually all computing platforms, including Windows, Macintosh, and most varieties of Unix/Linux. It is designed to run on both 32‐bit and 64‐bit architectures and operating systems. Stata possesses both a command‐line interface and a point‐and‐click menu interface, with a one‐to‐one correspondence between the two. Stata appeals to researchers from a wide range of fields, with concentrations in the health sciences and in economics. Statistically, Stata strengths are in the areas of panel/longitudinal data, survival analysis, and the analysis of data from complex surveys. Users can program their own routines using a mixture of Stata's own interpretive language and the compiled matrix‐programming language Mata, included with all Stata installations. Stata is offered in three flavors: Stata/IC, a standard version adequate for most purposes; Stata/SE, an expanded version for use with larger (wider) datasets; and Stata/MP, a version with specialized code designed to make use of multiple cores/processors and run faster on systems that have them. WIREs Comp Stat 2010 2 728–733 DOI: 10.1002/wics.116","PeriodicalId":47779,"journal":{"name":"Wiley Interdisciplinary Reviews-Computational Statistics","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/wics.116","citationCount":"3","resultStr":"{\"title\":\"Stata\",\"authors\":\"R. Gutierrez\",\"doi\":\"10.1002/wics.116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stata is general‐purpose statistical software. Currently in version 11, Stata is known for its wide range of statistical routines, ease of data management, and publication‐quality graphics. Stata is available on virtually all computing platforms, including Windows, Macintosh, and most varieties of Unix/Linux. It is designed to run on both 32‐bit and 64‐bit architectures and operating systems. Stata possesses both a command‐line interface and a point‐and‐click menu interface, with a one‐to‐one correspondence between the two. Stata appeals to researchers from a wide range of fields, with concentrations in the health sciences and in economics. Statistically, Stata strengths are in the areas of panel/longitudinal data, survival analysis, and the analysis of data from complex surveys. Users can program their own routines using a mixture of Stata's own interpretive language and the compiled matrix‐programming language Mata, included with all Stata installations. Stata is offered in three flavors: Stata/IC, a standard version adequate for most purposes; Stata/SE, an expanded version for use with larger (wider) datasets; and Stata/MP, a version with specialized code designed to make use of multiple cores/processors and run faster on systems that have them. WIREs Comp Stat 2010 2 728–733 DOI: 10.1002/wics.116\",\"PeriodicalId\":47779,\"journal\":{\"name\":\"Wiley Interdisciplinary Reviews-Computational Statistics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/wics.116\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wiley Interdisciplinary Reviews-Computational Statistics\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1002/wics.116\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wiley Interdisciplinary Reviews-Computational Statistics","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1002/wics.116","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 3
摘要
Stata是通用的统计软件。目前在版本11中,Stata以其广泛的统计例程,易于数据管理和出版质量图形而闻名。Stata可以在几乎所有的计算平台上使用,包括Windows、Macintosh和大多数种类的Unix/Linux。它被设计在32位和64位体系结构和操作系统上运行。Stata同时具有命令行界面和点按菜单界面,两者之间具有一对一的对应关系。Stata吸引了来自各个领域的研究人员,主要集中在卫生科学和经济学领域。统计上,Stata的优势在于面板/纵向数据、生存分析和复杂调查数据分析。用户可以使用Stata自己的解释语言和编译矩阵编程语言Mata的混合编程自己的例程,包括所有Stata安装。Stata有三种风格:Stata/IC,标准版本,适合大多数用途;Stata/SE,用于更大(更宽)数据集的扩展版本;以及Stata/MP,这是一个带有专门代码的版本,旨在利用多核/处理器,并在拥有多核/处理器的系统上运行得更快。WIREs Comp Stat 2010 2 728-733 DOI: 10.1002/wics.116
Stata is general‐purpose statistical software. Currently in version 11, Stata is known for its wide range of statistical routines, ease of data management, and publication‐quality graphics. Stata is available on virtually all computing platforms, including Windows, Macintosh, and most varieties of Unix/Linux. It is designed to run on both 32‐bit and 64‐bit architectures and operating systems. Stata possesses both a command‐line interface and a point‐and‐click menu interface, with a one‐to‐one correspondence between the two. Stata appeals to researchers from a wide range of fields, with concentrations in the health sciences and in economics. Statistically, Stata strengths are in the areas of panel/longitudinal data, survival analysis, and the analysis of data from complex surveys. Users can program their own routines using a mixture of Stata's own interpretive language and the compiled matrix‐programming language Mata, included with all Stata installations. Stata is offered in three flavors: Stata/IC, a standard version adequate for most purposes; Stata/SE, an expanded version for use with larger (wider) datasets; and Stata/MP, a version with specialized code designed to make use of multiple cores/processors and run faster on systems that have them. WIREs Comp Stat 2010 2 728–733 DOI: 10.1002/wics.116