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Can I read Basic elements of computational statistics Basic elements of computational statistics on EtoBox?
Basic elements of computational statistics Basic elements of computational statistics by Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin is a nonfiction available to read on EtoBox.
What is Basic elements of computational statistics Basic elements of computational statistics about?
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 a
Who reads Basic elements of computational statistics Basic elements of computational statistics?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2017
- Language
- EN
- ISBN
- 9783319553351
- Category
- nonfiction
- Subjects
- Science, Computer Science, Business
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