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For example, again we shall take the seven deaths occurring out of 182 patients and use maximum likelihood estimation to estimate the probability of death, p. Figure 3 shows the likelihood calculated for a range of values of p. From the graph it can be seen that the value of p giving the maximum likelihood is close to 0.04.
We can use maximum likelihood estimation algorithm to estimate the Gaussian parameters for each class from training points.
A number of approaches could be taken to estimating EM, EI and EP, we chose to use maximum likelihood estimation.
A number of approaches could be taken to estimating E M, E I and E P, we chose to use maximum likelihood estimation.
A more general method, which allows for the post-spike effects in model (1), is to use maximum likelihood estimation (MLE) from numerical solutions of PDEs or IEs for the conditional distribution of the spike times or equivalently, the ISIs.
However, if the control population was chosen so that their age range is after the age of onset of the disease, α should be close to 0. When case-control genotype data is given, one can use maximum likelihood estimation to calculate α.
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Equation 4 was estimated using maximum likelihood estimation and the estimated results are summarized in Table 3.
All models were fitted using maximum likelihood estimation which calculates estimates of the statistical parameters most likely to have produced the observed data.
It is estimated using maximum likelihood estimation technique.
The OLR model was estimated using maximum likelihood estimation method.
GMM components of density function are estimated using maximum likelihood estimation.
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