Abstract：On the basis of the time series analysis model, higher difference, gray model, spectrum analysis and singular spectrum analysis method are used to extract nonstationary time series trend, and model smooth residuals for time series. The analysis results of dam displacement monitoring series indicate that prediction accuracy is improved by using singular spectrum analysis and spectrum analysis of time series analysis model compared to the traditional model of higher difference timing analysis model and gray prediction model.
$author.xingMing_EN,$author.xingMing_EN,$author.xingMing_EN et al. CONTRAST STUDY ON VARIOUS METHODS EXTRACTING TREND
EXTRACTION BASED ON NON-STATIONARY TIME SERIES[J]. jgg, 2013, 33(6): 150-154.
