How to test a Time Series to be "Constant" over time?
I can think of:
1. No Trend (use linear regression and kernel regression)
2. No Seasonality (? Spectrum analysis with T = 2*pi / max(f(lambda)))
3. Random Noise (Ljung Box, Turning Points, Rank tests)
Please help me add more test to determine how can we get a p-value for the Null Hypothesis" Constant over time"