The effects of the irregular sample and missing data in time series analysis.
The effects of the irregular sample and missing data in time series analysis.
D. Kreindler,C. Lumsden
2006 · DOI: 10.1201/9781439820025-9
Nonlinear Dynamics, Psychology, and Life Sciences · 109 Citations
TLDR
It is concluded that irregularly sampled data sets with as much as 15 percent missing data can potentially be re-sampled or repaired for analysis with techniques that assume regular sampling without introducing substantial errors.