There are different norms for measuring estimators size.
Noises were generated by algorithm (Little et al., 2007) and fit by the models used in Study 1 (measuring slope) and in Study 2 (measuring Whittle estimators by the method of Shimotsu & Phillips, 2005).
In statistical signal processing there are two ways to measure the estimator's ability: (i) computing the Lower Bounds (LBs) on the estimator's variance and (ii) calculating the Mean Square Error (MSE) on the estimated parameters.
As an adult, he worked as an estimator, measuring and pricing materials used in constructing the gigantic platforms that house oil rigs in the Gulf of Mexico.
Signal-to-noise ratio (SNR) test is an ideal estimator for measuring the speech signal intelligibility [23].
The mean square error of an estimator measures the square of the average amount by which the estimator misses the quantity we are trying to estimate (for us, the prevalence).
Rejection point measures whether the estimator rejects outliers and, if so, at what distance. .
The body direction estimator measures the orientation of the body w.r.t. the transmitter.
The BER estimator measures the channel quality, compares it with the preset thresholds, decides which adaptive scheme Set-l (where l ∈ {1, 2, 3}) to be employed, and feeds this information back to the transmitter in order to adjust its modulation, constellation power, and STFC coding rate.
The goodness of an estimator is measured by comparing to the "best possible estimator in the worst case", that is, by comparing the risk of the given estimator with the minimax risk.
The basic idea in deriving a measure (an estimator) is to start with a particular scenario (model) for the registrations, and from this model derive an estimator.
