Predictability skyrockets as time-series data becomes more stationary.
Time-series methods work best when the data is stable over time, meaning its average, spread, and patterns don't change. This makes predictions more reliable.
Nth differencing of time series proven to maintain stationarity, impacts forecasting.
New research reveals breakthrough in understanding nonstationary bandpass processes!
Uncovering Hidden Harmonics: How Spectral Analysis Can Prevent Structural Failures
