logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Probability Statistics And Data A Fresh Approach Using R 1st Edition Darrin Speegle

  • SKU: BELL-36126832
Probability Statistics And Data A Fresh Approach Using R 1st Edition Darrin Speegle
$ 31.00 $ 45.00 (-31%)

4.8

24 reviews

Probability Statistics And Data A Fresh Approach Using R 1st Edition Darrin Speegle instant download after payment.

Publisher: Chapman and Hall/CRC
File Extension: PDF
File size: 22.21 MB
Pages: 512
Author: Darrin Speegle, Bryan Clair
ISBN: 9780367436674, 0367436671
Language: English
Year: 2021
Edition: 1

Product desciption

Probability Statistics And Data A Fresh Approach Using R 1st Edition Darrin Speegle by Darrin Speegle, Bryan Clair 9780367436674, 0367436671 instant download after payment.

This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation.

The book introduces probability with Monte Carlo simulation as an essential tool. Simulation makes challenging probability questions quickly accessible and easily understandable. Mathematical approaches are included, using calculus when appropriate, but are always connected to experimental computations.
Using R and simulation gives a nuanced understanding of statistical inference. The impact of departure from assumptions in statistical tests is emphasized, quantified using simulations, and demonstrated with real data. The book compares parametric and non-parametric methods through simulation, allowing for a thorough investigation of testing error and power. The text builds R skills from the outset, allowing modern methods of resampling and cross validation to be introduced along with traditional statistical techniques.

Fifty-two data sets are included in the complementary R package fosdata. Most of these data sets are from recently published papers, so that you are working with current, real data, which is often large and messy. Two central chapters use powerful tidyverse tools (dplyr, ggplot2, tidyr, stringr) to wrangle data and produce meaningful visualizations. Preliminary versions of the book have been used for five semesters at Saint Louis University, and the majority of the more than 400 exercises have been classroom tested.

Related Products