Posted by **ChrisRedfield** at Jan. 24, 2017

Published: 2014-02-07 | ISBN: 1439854513 | PDF | 276 pages | 2.64 MB

Posted by **arundhati** at Oct. 30, 2021

English | ISBN: 1853129445 | 2006 | 240 pages | PDF | 3 MB

Posted by **readerXXI** at Aug. 21, 2018

English | 2017 | ISBN: 153611992X | 193 Pages | PDF | 3.8 MB

Posted by **Maks_tir** at Aug. 15, 2021

English | ISBN: 1119682673 | 224 pages | EPUB | October 18, 2021 | 17 Mb

Posted by **yoyoloit** at Aug. 19, 2021

by Mo, Huadong;Sansavini, Giovanni;Xie, Min;

English | 2021 | ISBN: 1119682673 | 227 pages | True PDF | 5.48 MB

Posted by **yoyoloit** at March 25, 2023

by Pramod Belkhode

English | 2023 | ISBN: 1000840093 | 231 pages | True PDF | 48.54 MB

Posted by **AvaxGenius** at Oct. 9, 2022

English | PDF | 2013 | 756 Pages | ISBN : 1118091574 | 38.3 MB

Mixed modeling is a crucial area of statistics, enabling the analysis of clustered and longitudinal data. Mixed Models: Theory and Applications with R, Second Edition fills a gap in existing literature between mathematical and applied statistical books by presenting a powerful examination of mixed model theory and application with special attention given to the implementation in R.

Posted by **AvaxGenius** at Oct. 17, 2022

English | PDF | 2004 | 728 Pages | ISBN : 0471601616 | 41 MB

A rigorous, self-contained examination of mixed model theory and application

Mixed modeling is one of the most promising and exciting areas of statistical analysis, enabling the analysis of nontraditional, clustered data that may come in the form of shapes or images. This book provides in-depth mathematical coverage of mixed models’ statistical properties and numerical algorithms, as well as applications such as the analysis of tumor regrowth, shape, and image.

Posted by **yoyoloit** at April 29, 2023

by Edited by Madhu Jain

English | 2023 | ISBN: 1032392649 | 425 pages | True PDF | 56.33 MB

Posted by **ChrisRedfield** at Dec. 12, 2017

Published: 2017-05-28 | ISBN: 3319530429 | PDF | 467 pages | 7.34 MB