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Titlebook: Introductory Statistics with R; Peter Dalgaard Textbook 2008Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2

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書(shū)目名稱(chēng)Introductory Statistics with R
編輯Peter Dalgaard
視頻videohttp://file.papertrans.cn/475/474491/474491.mp4
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
叢書(shū)名稱(chēng)Statistics and Computing
圖書(shū)封面Titlebook: Introductory Statistics with R;  Peter Dalgaard Textbook 2008Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2
描述.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 general, logistic regression, and survival analysis..
出版日期Textbook 2008Latest edition
關(guān)鍵詞ANOVA; Analysis; Analysis of variance; Curve fitting; Descriptive statistics; Fitting; Open Source; Regress
版次2
doihttps://doi.org/10.1007/978-0-387-79054-1
isbn_softcover978-0-387-79053-4
isbn_ebook978-0-387-79054-1Series ISSN 1431-8784 Series E-ISSN 2197-1706
issn_series 1431-8784
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2008
The information of publication is updating

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Multiple regression,t do not differ a lot from what has been described for regression analysis and analysis of variance. The news is mainly the model search aspect, namely among a set of potential descriptive variables to look for a subset that describes the response sufficiently well.
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Peter DalgaardNew material on Poisson and nonlinear regression.Expanded coverage of data handling issues.Answers to exercises now provided.Updated to R 2.6.2
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Basics,The purpose of this chapter is to get you started using .. It is assumed that you have a working installation of the software and of the ISwR package that contains the data sets for this book. Instructions for obtaining and installing the software are given in Appendix A.
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