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In schedule risk analysis, the likelihood of missing the deadline against estimates is determined.
In cost risk analysis, the likelihood of cost deviation against estimates is determined.
As shown in Fig. 2, for the k-th user, the reliability of its soft estimates is determined by the Euclidean distance between u k (i) and its nearest constellation points c.
Perhaps most importantly, the quality of the estimates is determined by the quality and availability of empirical data.
On the other hand, the noise term in the error estimates is determined by both the centered reaction terms in the equations for discrete variables and a difference between the discrete variables for the normalized species number and their continuous limit.
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The parameter estimates are determined using maximum likelihood estimation.
Linear equations [f(x)], coefficients of determination (r 2 ), degrees of freedom (df), and p-value estimates were determined using Statistica 9.1 (StatSoft Inc., Tulsa, OK, USA).
These estimates are determined by evaluating certain Gauss, anti-Gauss, or Gauss Radau quadrature rules.
Parameter estimates were determined by performing regression analysis with no intercept option.
Fuel economy estimates are determined by a lab test that automakers are required to perform on their vehicles.
Group estimates were determined by aggregating the individual estimates using the geometric mean of the individual estimates for each frequency parameter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com