Cite
A cointegration approach for heteroscedastic data based on a time series decomposition: An application to structural health monitoring.
MLA
Shi, Haichen, et al. “A Cointegration Approach for Heteroscedastic Data Based on a Time Series Decomposition: An Application to Structural Health Monitoring.” Mechanical Systems & Signal Processing, vol. 120, Apr. 2019, pp. 16–31. EBSCOhost, https://doi.org/10.1016/j.ymssp.2018.09.036.
APA
Shi, H., Worden, K., & Cross, E. J. (2019). A cointegration approach for heteroscedastic data based on a time series decomposition: An application to structural health monitoring. Mechanical Systems & Signal Processing, 120, 16–31. https://doi.org/10.1016/j.ymssp.2018.09.036
Chicago
Shi, Haichen, Keith Worden, and Elizabeth J. Cross. 2019. “A Cointegration Approach for Heteroscedastic Data Based on a Time Series Decomposition: An Application to Structural Health Monitoring.” Mechanical Systems & Signal Processing 120 (April): 16–31. doi:10.1016/j.ymssp.2018.09.036.