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

Introduction To Mixed Modelling Beyond Regression And Analysis Of Variance 1st Edition N W Galwey

  • SKU: BELL-990200
Introduction To Mixed Modelling Beyond Regression And Analysis Of Variance 1st Edition N W Galwey
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Introduction To Mixed Modelling Beyond Regression And Analysis Of Variance 1st Edition N W Galwey instant download after payment.

Publisher: Wiley
File Extension: PDF
File size: 5.59 MB
Pages: 369
Author: N. W. Galwey
ISBN: 9780470014967, 0470014962
Language: English
Year: 2006
Edition: 1

Product desciption

Introduction To Mixed Modelling Beyond Regression And Analysis Of Variance 1st Edition N W Galwey by N. W. Galwey 9780470014967, 0470014962 instant download after payment.

Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects. However, many perceive mixed modelling as an intimidating and specialized technique. This book introduces mixed modelling analysis in a simple and straightforward way, allowing the reader to apply the technique confidently in a wide range of situations.Introduction to Mixed Modelling shows that mixed modelling is a natural extension of the more familiar statistical methods of regression analysis and analysis of variance. In doing so, it provides the ideal introduction to this important statistical technique for those engaged in the statistical analysis of data.

Related Products