De-Biasing Structure Function Estimates From Sparse Time Series of the Solar Wind: A Data-Driven Approach
稀疏太阳风时间序列结构函数估计的数据驱动去偏
Structure functions, which represent the moments of the increments of a stochastic process, are essential complementary statistics to power spectra for analysing the self-similar behaviour of a time series. However, many real-world environmental datasets, such as those collected by spacecraft monitoring the solar wind, contain gaps, which inevitably corrupt the statistics. The nature of this corruption for structure functions remains poorly understood - indeed, often…