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To stabilize variances, values were logarithm-transformed.
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Table 2 shows the variance values.
Suppose the mean and variance values can be assessed beforehand.
We select noise variance values that lead to the same SNR values estimated from the measurements.
The mean values and variance values of RMSE results are calculated with Eq. (18).
Data were transformed because Levene's test for equality of variance values was not fulfilled.
Two variance values were considered as well, 1 and 10% of (bar {g}_{mathrm {L}}).
The variance values of the above two cases are 3.7781e-004 and 1.7305e-004, respectively.
Then, the expectation and variance values are calculated empirically and theoretically.
The design benefits from the information regarding prior mean and variance values.
This difference makes that both the mean and the variance values are modified in (5).
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