Title
Computational Statistics: An Introduction To R
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Suitable For A Compact Course Or Selfstudy, Computational Statistics: An Introduction To R Illustrates How To Use The Freely Available R Software Package For Data Analysis, Statistical Programming, And Graphics. Integrating R Code And Examples Throughout, The Text Only Requires Basic Knowledge Of Statistics And Computing.This Introduction Covers Onesample Analysis And Distribution Diagnostics, Regression, Twosample Problems And Comparison Of Distributions, And Multivariate Analysis. It Uses A Range Of Examples To Demonstrate How R Can Be Employed To Tackle Statistical Problems. In Addition, The Handy Appendix Includes A Collection Of R Language Elements And Functions, Serving As A Quick Reference And Starting Point To Access The Rich Information That Comes Bundled With R.Accessible To A Broad Audience, This Book Explores Key Topics In Data Analysis, Regression, Statistical Distributions, And Multivariate Statistics. Full Of Examples And With A Color Insert, It Helps Readers Become Familiar With R.
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- Q: How many pages does this book have? A: This book has two hundred seventy-four pages. It provides a comprehensive overview of computational statistics using R.
- Q: What is the binding type of this book? A: The binding type is hardcover. This ensures durability and a professional appearance for your bookshelf.
- Q: What are the dimensions of the book? A: The book measures six point twenty-six inches in length, zero point seventy-five inches in width, and nine point five inches in height.
- Q: What statistical topics does this book cover? A: The book covers a range of statistical topics including regression, multivariate analysis, and distribution diagnostics. It integrates examples using the R software package.
- Q: Who is the author of this book? A: The author is Günther Sawitzki. He provides insights into computational statistics and practical applications of R.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It requires only basic knowledge of statistics and computing.
- Q: Can I use this book for self-study? A: Yes, this book is ideal for self-study. It is designed for a compact course or individual learning in computational statistics.
- Q: Does the book include examples using R? A: Yes, the book includes numerous examples using the R software package. These examples help illustrate statistical concepts effectively.
- Q: Is there an appendix in the book? A: Yes, there is an appendix included. It contains R language elements and functions for quick reference.
- Q: What is the target audience for this book? A: The target audience includes students and professionals interested in data analysis and statistics. It is accessible to a broad range of readers.
- Q: How should I care for this hardcover book? A: To care for this hardcover book, keep it in a dry place and avoid exposure to direct sunlight. This will help maintain its condition.
- Q: Can I return the book if I am not satisfied? A: Yes, you can return the book if you are not satisfied. Check the return policy of the seller for specific details.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller immediately for a replacement or refund. Most sellers provide options for damaged items.
- Q: Is this book suitable for statistical professionals? A: Yes, this book is suitable for statistical professionals as well. It covers both foundational and advanced topics in computational statistics.
- Q: Does this book have color illustrations? A: Yes, the book contains a color insert. This enhances the learning experience by providing visual examples.
- Q: Is this book a good resource for learning R? A: Yes, this book is a great resource for learning R. It illustrates how to use R for data analysis and statistical programming.