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Standard graphical plotting methods, such as the double reciprocal plot [ 9] and direct linear plot [ 10], are not based on statistical estimation and yield unnecessarily inaccurate parameter estimates.
New evolutionary algorithms based on statistical estimation, called estimation of distribution algorithms [ 15, 67], enable Bayesian probability distributions to be used as input data to optimize system parameters.
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We present a trajectory mapping algorithm for a distributed camera setting that is based on statistical homography estimation accounting for the distortion introduced by camera lenses.
As a result, much of what is known about population-level mortality in such settings, are based on statistical modelling and estimation [ 24- 26].
The current estimation methods based on statistical theory could not be used to estimate this kind of small samples.
It is difficult to know the statistical cure rate, which is an estimation based on statistical models [ 11, 15], especially for slowly proliferating tumors.
The first figure is close to 5651 CDS, an estimation based on statistical and comparison analysis with partial sequence data from a number of other yeast species [ 36].
They were nearly the same, lower, or higher than those estimations based on statistical analyses of the IFCC-CLSI (Table 3).
For quantitative nodes (d_{1}) and (d_{2}), we calculated a priori probability distributions ({text{P}}left( {d_{1} } right)), ({text{P}}left( {d_{2} } right)) and CPT ({text{P}}(d_{1} |T)), ({text{P}}(d_{2} |T)) based on statistical analysis and a maximum likelihood estimation algorithm.
As the features used in all five methods are based on statistical models, more data leads to better estimation of the models.
The estimation of the parameters is based on statistical methodology.
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