scholarly journals Train Wheel Degradation Modeling and Remaining Useful Life Prediction Based on Mixed Effect Model Considering Dependent Measurement Errors

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 159058-159068 ◽  
Author(s):  
Qi Li ◽  
Jiayu Zhou ◽  
Zengqiang Jiang ◽  
Mingcheng E ◽  
Jing Ma
2014 ◽  
Vol 21 (12) ◽  
pp. 4509-4517 ◽  
Author(s):  
Sheng-jin Tang ◽  
Xiao-song Guo ◽  
Chuan-qiang Yu ◽  
Zhi-jie Zhou ◽  
Zhao-fa Zhou ◽  
...  

2013 ◽  
Vol 91 (3) ◽  
pp. 118-123 ◽  
Author(s):  
J.G.A. Martin ◽  
M. Festa-Bianchet ◽  
S.D. Côté ◽  
D.T. Blumstein

Hind-foot length is a widely used index of skeletal size in population ecology. The accuracy of hind-foot measurements, however, has not been estimated. We quantified measurement error in adult hind-foot length in yellow-bellied marmots (Marmota flaviventris (Audubon and Bachman, 1841)), mountain goats (Oreamnos americanus (de Blainville, 1816)), and bighorn sheep (Ovis canadensis Shaw, 1804) from long-term capture–recapture studies. Fitting a linear mixed effect model for each species separately, we found that hind-foot length was significantly repeatable in the three species, but repeatability was low, ranging from 0.30 to 0.47. Measurement error explained 53%–66% of the variance in foot length. Differences of 6, 13, and 27 mm would be indistinguishable from measurement error for marmots, goats, and sheep, respectively. At least 4–6 measures per individual were needed to detect variation in foot length between individuals of a population using a mixed effect model. Researchers should strive to limit measurement errors because inaccurate measures may obscure important biological patterns.


2005 ◽  
Vol 48 (2) ◽  
pp. 208-217 ◽  
Author(s):  
Matthew Watson ◽  
Carl Byington ◽  
Douglas Edwards ◽  
Sanket Amin

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Bincheng Wen ◽  
Mingqing Xiao ◽  
Guanghao Wang ◽  
Zhao Yang ◽  
Jianfeng Li ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document