Modern Statistics with R Book [PDF] Download

Download the fantastic book titled Modern Statistics with R written by Måns Thulin, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Modern Statistics with R", which was released on 28 July 2021. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Modern Statistics with R by Måns Thulin PDF

The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is to introduce you to key parts of the modern statistical toolkit. It teaches you: - Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. - Exploratory data analysis - using visualisation and multivariate techniques to explore datasets. - Statistical inference - modern methods for testing hypotheses and computing confidence intervals. - Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. - Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. - Ethics in statistics - ethical issues and good statistical practice. - R programming - writing code that is fast, readable, and free from bugs. Starting from the very basics, Modern Statistics with R helps you learn R by working with R. Topics covered range from plotting data and writing simple R code to using cross-validation for evaluating complex predictive models and using simulation for sample size determination. The book includes more than 200 exercises with fully worked solutions. Some familiarity with basic statistical concepts, such as linear regression, is assumed. No previous programming experience is needed.


Detail About Modern Statistics with R PDF

  • Author : Måns Thulin
  • Publisher : BoD - Books on Demand
  • Genre : Mathematics
  • Total Pages : 598 pages
  • ISBN : 9152701514
  • PDF File Size : 11,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Modern Statistics with R

Modern Statistics with R
  • Publisher : BoD - Books on Demand
  • File Size : 37,6 Mb
  • Release Date : 28 July 2021
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The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. The aim of Modern Statistics with R is

Modern Data Science with R

Modern Data Science with R
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  • Release Date : 31 March 2021
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From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an

Fundamentals of Modern Statistical Methods

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  • Release Date : 18 March 2010
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Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures

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  • Publisher : Unknown Publisher
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The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify.

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  • Publisher : Springer Science & Business Media
  • File Size : 37,6 Mb
  • Release Date : 11 November 2013
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A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are assumed to

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  • Publisher : No Starch Press
  • File Size : 22,5 Mb
  • Release Date : 16 July 2016
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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little

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  • Publisher : Springer
  • File Size : 46,6 Mb
  • Release Date : 22 March 2016
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This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader. Covering many techniques and approaches for exploratory