spectral_connectivity.statistics.power_variance#
- power_variance(n_observations: int) float[source]#
Compute variance of log-power spectrum estimates.
Calculates the variance of log-transformed power spectrum estimates for use in statistical testing and confidence interval computation.
- Parameters:
n_observations (int) – Number of observations used in power estimation (n_tapers * n_trials).
- Returns:
variance – Variance of log-power estimates.
- Return type:
Examples
>>> var_100 = power_variance(100) >>> var_1000 = power_variance(1000) >>> print(f"Variance with 100 obs: {var_100:.6f}") >>> print(f"Variance with 1000 obs: {var_1000:.6f}") Variance with 100 obs: 0.005051 Variance with 1000 obs: 0.000501