Statistical Modelling in R
Statistical Modelling in R
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DOI：
10.5860/choice.47-2630
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发表时间：
2009-04
期刊：
影响因子：
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通讯作者：
M. Aitkin;Brian Francis;J. Hinde;Ross Darnell
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文献类型：
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作者：
M. Aitkin;Brian Francis;J. Hinde;Ross Darnell
R现在是大学统计部门和许多研究机构中使用最广泛的统计软件包/语言。它的巨大优势是，多年来它一直是领先的统计软件包/语言，可以从R网站免费下载。它的合作开发和开放代码也吸引了许多贡献者，这意味着R的建模和数据分析可能性比GLIM 4丰富得多，因此R版本可以比统计建模的GLIM 4版本更全面。本文提供了一个全面的处理理论的统计建模在R与应用的实际问题和扩大讨论的统计理论的重点。提供了广泛的案例研究，使用正态分布，二项分布，泊松分布，多项式分布，伽玛分布，指数分布和威布尔分布，使这本书的理想毕业生和研究生在应用统计和广泛的定量学科。
R is now the most widely used statistical package/language in university statistics departments and many research organisations. Its great advantages are that for many years it has been the leading-edge statistical package/language and that it can be freely downloaded from the R web site. Its cooperative development and open code also attracts many contributors meaning that the modelling and data analysis possibilities in R are much richer than in GLIM4, and so the R edition can be substantially more comprehensive than the GLIM4 edition of Statistical Modelling. This text provides a comprehensive treatment of the theory of statistical modelling in R with an emphasis on applications to practical problems and an expanded discussion of statistical theory. A wide range of case studies is provided, using the normal, binomial, Poisson, multinomial, gamma, exponential and Weibull distributions, making this book ideal for graduates and research students in applied statistics and a wide range of quantitative disciplines.