期刊全稱 | Basic Elements of Computational Statistics | 影響因子2023 | Wolfgang Karl H?rdle,Ostap Okhrin,Yarema Okhrin | 視頻video | http://file.papertrans.cn/182/181013/181013.mp4 | 發(fā)行地址 | Covers basic mathematical, statistical and programming problems in computational statistics.Addresses both univariate and multivariate statistical data analysis and applications in finance, the life s | 學(xué)科分類 | Statistics and Computing | 圖書封面 |  | 影響因子 | .This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R. It covers mathematical, statistical as well as programming problems in computational statistics and contains a wide variety of practical examples. In addition to the numerous R sniplets presented in the text, all computer programs (quantlets) and data sets to the book are available on GitHub and referred to in the book. This enables the reader to fully reproduce as well as modify and adjust all examples to their needs..The book is intended for advanced undergraduate and first-year graduate students as well as for data analysts new to the job who would like a tour of the various statistical tools in a data analysis workshop. The experienced reader with a good knowledge of statistics and programming might skip some sections on univariate models and enjoy the various ma.thematical roots of multivariate techniques..The Quantlet platform quantlet.de, quantlet.com, quantlet.org is an integrated QuantNet environment consisting of different types of statistics-related documents | Pindex | Textbook 2017 |
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