Open AccessImproved Quantile Regression Analysis on Small Sample Multicollinear Time Series Measured Data
Author(s) -
Weihua Fang,
Yunping Chen,
Dehu Cheng,
Hui Zhang,
Lin Li
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/304/3/032030
Subject(s) - statistics , quantile , collinearity , crest , quantile regression , sample (material) , series (stratigraphy) , arch dam , time series , mathematics , regression analysis , data mining , econometrics , arch , computer science , engineering , geology , structural engineering , paleontology , physics , chemistry , chromatography , quantum mechanics
To solve the problems of little sample, multi-collinearity and bad robust ability of normal model remaining in measured dam data in process of analysis, this paper analyzed the monitoring data of measured dam crest crown cantilever and both sides of 1/4 arch of a gravity dam in 2013 using circannual monitoring data. The research shows that quantile regression analysis method based on POD can conquer the problems above when analyzing measured dam data and excavate more safety dam information.