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

Linear Regression Analysis Theory And Computing 1st Edition Xin Yan

  • SKU: BELL-43136366
Linear Regression Analysis Theory And Computing 1st Edition Xin Yan
$ 31.00 $ 45.00 (-31%)

4.3

88 reviews

Linear Regression Analysis Theory And Computing 1st Edition Xin Yan instant download after payment.

Publisher: World Scientific, World Scientific Publishing Co. Pte. Ltd.
File Extension: PDF
File size: 2.79 MB
Pages: 349
Author: Xin Yan, Xiao Gang Su
ISBN: 9789812834102, 9812834109, B00KFMOYDW
Language: English
Year: 2009
Edition: 1

Product desciption

Linear Regression Analysis Theory And Computing 1st Edition Xin Yan by Xin Yan, Xiao Gang Su 9789812834102, 9812834109, B00KFMOYDW instant download after payment.

This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area.

The examples of regression analysis using the Statistical Application System (Sas) are also included.

This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields.

Related Products