The EM algorithm consists of two repeated steps: The E-step (expectation) estimates the expected membership of each data point in each component and then the component weights ω, given the current model parameters θ.
Analytical formulae such as Eq. (9) are not necessarily available to determine the expected value of estimates of the standard error of estimates of the population mean for the other forms of sampling being considered here (Table 1).
Furthermore, the expected error of estimates under different scenarios is known for each predefined composition.
It is more typical to calibrate the size of the sample to the complexity of the analysis by ensuring that the ratio of observations to the expected number of estimated parameters in the analysis is at least 5 10.
Assuming that the distance estimate is correct, it then estimates the expected number of mate-pairs which should connect the two contigs (cf. below).
Therefore, robust projection models must include estimates of the expected natural history of the disease based on alternative levels of disease management.
The researchers used a statistical model to estimate the expected number of cancers and the expected death rate without screening.
To estimate the expected number of trials with statistically significant results, estimates of the unknown true effect sizes for each meta-analysis in the network are required.
An uncertainty analysis for model parameters and model predictions shows the expected accuracy of the estimates.
ETX estimates the expected number of transmissions of a packet through a link.
