Exact(4)
For comparability, we focus on short-run estimates, defined as effect estimates based on outcomes observed up to two years after programme start.6 Where there is more than one such short-term estimate per gender-region-group combination, we choose the latest (most long-term) one.
Assuming a perfect synchronization and a time-invariant channel over an OFDM symbol duration, we can get D - L noise variance estimates defined as σ ^ w, u 2 = 1 2 M s ( D - u ) ∑ k = 0 M s - 1 ∑ m = u D - 1 | y ( k ( N s c + D ) + m ) (1) - y ( k ( N s c + D ) + N s c + m ) | 2, L ≤ u ≤ D - 1. (2) (3) (5).
Unstable estimates, defined as having a 95% confidence interval wider than 15% or a width that was 40% or more than the estimate, are noted in the tables.
Microsoft Excel and STATA© statistical packages were used to obtain coverage estimates (defined as the proportion of individuals needing a service or intervention who actually received it) for each of these seven indicators.
Similar(55)
where m k is the median value from the moving data window and S k is the MAD scale estimate, defined as: S_{k} = 1.4826 times text{median}_{j in [-K,K]} { |x_{k-j} - m_{k}| }. (4).
The effect estimate was plotted versus the precision of the estimate (defined as the inverse of standard error (1/SEi)).
For these estimates, uncertainty distributions were defined as follows and were used to draw from each bootstrap.
Short-run estimates are defined as effect estimates based on outcomes observed up to two years after programme start.
Per-patient EE estimates were defined as accurate if the estimate was within ±10%% of the IC measurement.
Significant differences between estimates were defined as those having non-overlapping 95% confidence intervals between the lowest and highest estimates (reported as percentages).
The plane spanned by these three channel estimates is defined as follows d 1 = p 1 + a p 2 − p 1 + b p 3 − p 1, (23).
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