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

Statistics And Data Analysis Through R Csar Prez Lpez

  • SKU: BELL-22375542
Statistics And Data Analysis Through R Csar Prez Lpez
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Statistics And Data Analysis Through R Csar Prez Lpez instant download after payment.

Publisher: Independently Published
File Extension: EPUB
File size: 3.45 MB
Pages: 222
Author: César Pérez López
ISBN: 9788560999927, 9798560999926, 8560999922
Language: English
Year: 2020

Product desciption

Statistics And Data Analysis Through R Csar Prez Lpez by César Pérez López 9788560999927, 9798560999926, 8560999922 instant download after payment.

This book focuses on the implementation of statistics and data analysis through R. It deals first with the Exploratory Data Analysis both numerically and graphically, which is always a technique prior to any other statistical analysis. Descriptive statistics and the calculation of probabilities are then developed. Subsequently, the multiple regression model is approached, focusing on the problems of its estimation and diagnosis. It also delves into the generalized linear models and the analysis of variance and covariance models. Dimension reduction techniques are also addressed with special emphasis on principal component analysis and factor analysis. Finally, the segmentation techniques related to hierarchical and non-hierarchical cluster analysis are presented.

Related Products