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By approximating the nonlinear counting step function using a quadratic function, the classification error rate is shown to be deterministically solvable.
It was derived by running the 300 index growth model (Scion, unpublished data) for a range of site indices and using a quadratic function to model the relationship between site index and the age at which mean height reached 1.4 m.
The pattern of the daily visits during the summer periods has been modeled using a quadratic function.
If all 16 PMTCT centres were consider together, the best fit for this relation was obtained using a quadratic function (R2 = 0.42, p = 0.03).
A poisson regression model predicting melioidosis cases using a quadratic function of age gave a good fit to the data (χ2 = 102.84, df = 2, P < 0.0001).
Kernel intensity estimators predict spatial intensity at unsampled points from nearby sampled points by using a quadratic function to heavily weight the nearest measured points and de-emphasize points sampled at greater distances.
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To measure the difference between the portfolio and the index, referred to as the tracking error, we use a quadratic function with the covariance matrix of the index returns as coefficient matrix.
The quadratic objective function q(d) reflects the local properties of the original objective function and the main reason to use a quadratic function is that such problems are easy to solve yet mimics the nonlinear behavior of the initial problem.
Outliers have a great effect during minimization since there is a quadratic function in the objective function of the FCM algorithm; so, it is necessary to use a quadratic function with the property of being less increasing, and thereby control the influence of atypical information.
We then used a quadratic function to fit the data points and established the prediction model.
A proficient freeform curve design technique is developed by constructing B-spline like local support basis functions using a quadratic trigonometric function introduced.
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