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Simulation for Data Science with R

Matthias Templ




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 | #402151 in Books |  2016-06-30 |  2016-06-30 | Original language:English |  9.25 x.90 x7.50l,1.50 | File type: PDF | 398 pages

||1 of 1 people found the following review helpful.| Memorable, practical, suitable for R users|By Barbara Szabo|The book has great strategy, because it introduces various topics by humorous examples, which are easy to be understood and than goes to details of the scientific background of computational statistics and simulations.

The reader can
1) learn more about the advanced features of R (all examples listed in|About the Author||Matthias Templ |Matthias Templ is associated professor at the Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology (Austria). He is additionally employed as a scientist at the methods unit at Sta

Harness actionable insights from your data with computational statistics and simulations using R

About This Book

  • Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies
  • A unique book that teaches you the essential and fundamental concepts in statistical modeling and simulation

Who This Book Is For

...

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