Applied Linear Regression Models
โ Scribed by Michael H. Kutner; Christopher J Nachtsheim; John Neter
- Publisher
- Ingram
- Year
- 2004
- Tongue
- English
- Leaves
- 728
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
kut86916_fm
kut86916_ch01
kut86916_ch02
kut86916_ch03
kut86916_ch04
kut86916_ch05
kut86916_ch06
kut86916_ch07
kut86916_ch08
kut86916_ch09
kut86916_ch10
kut86916_ch11
kut86916_ch12
kut86916_ch13
kut86916_ch14
kut86916_appA
kut86916_appB
kut86916_appC
kut86916_appD
kut86916_index
kutn86916_index
๐ SIMILAR VOLUMES
<p>Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the <strong>Third Edition</strong> of <strong>Applied Regression Analysis and Generalized Linear Models </strong>provides in-depth coverage of regression analysis, generalized linear models, and clo
<p>Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the <strong>Third Edition</strong> of <strong>Applied Regression Analysis and Generalized Linear Models </strong>provides in-depth coverage of regression analysis, generalized linear models, and clo
<p>Research in social and behavioral sciences has benefited from linear regression models (LRMs) for decades to identify and understand the associations among a set of explanatory variables and an outcome variable. <i>Linear Regression Models: Applications in R</i> provides you with a comprehensive