| 书目名称 | Introductory Statistics with R | | 编辑 | Peter Dalgaard | | 视频video | | | 概述 | New material on Poisson and nonlinear regression.Expanded coverage of data handling issues.Answers to exercises now provided.Updated to R 2.6.2.Includes supplementary material: | | 丛书名称 | Statistics and Computing | | 图书封面 |  | | 描述 | .R is an Open Source implementation of the well-known S language. It works on multiple computing platforms and can be freely downloaded. R is thus ideally suited for teaching at many levels as well as for practical data analysis and methodological development...This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in genera | | 出版日期 | Textbook 20021st edition | | 关键词 | ANOVA; Descriptive statistics; Fitting; Logistic Regression; Regression analysis; Survival analysis; Varia | | 版次 | 1 | | doi | https://doi.org/10.1007/b97671 | | isbn_ebook | 978-0-387-22632-3Series ISSN 1431-8784 Series E-ISSN 2197-1706 | | issn_series | 1431-8784 | | copyright | Springer-Verlag New York 2002 |
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发表于 2025-3-21 16:33:55
