Application of Mixed Linear Models in the Analysis of Road Surface Features
The data were collected by researchers at the Road Research Institute, in a study investigating the impact of differentfactors on road surface strength. In this statistical analysis, we apply linear mixed models (LMMs) to clustered longitudinal data, inwhich the units of analysis (points in the roa...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Lietuvos statistikų sąjunga, Lietuvos statistikos departamentas
2015-12-01
|
| Series: | Lithuanian Journal of Statistics |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/statisticsjournal/article/view/13885 |
| Summary: | The data were collected by researchers at the Road Research Institute, in a study investigating the impact of differentfactors on road surface strength. In this statistical analysis, we apply linear mixed models (LMMs) to clustered longitudinal data, inwhich the units of analysis (points in the road) are nested within clusters (sample of four different road segments), and repeatedmeasures of road strength in these different points are collected over time with unequally spaced time intervals. The data arebalanced – each cluster has the same number of units, which are measured at the same number of time points. Because of correlateddata and different clusters in which data could be correlated, linear regression models are not appropriate here, and therefore linearmixed models are applied.
|
|---|---|
| ISSN: | 1392-642X 2029-7262 |