A quadratic polynomial (second order) was used to predict the response as a function of independent variables and their interactions and a second-order polynomial equation [25] was used as shown below in the equation:

For the mean time of emergence, a quadratic polynomial model fitted best to the data of the cultivars Ligeirinho and Meruinho (Figure 1C), and the values decreased to 4.97 and 5.42 days, respectively, as the ECw increased up to 1.75 and 1.92 dS [m.sup.-1], demonstrating higher resistance to the salts, compared with the cultivar Casado, described by a linear model.

The independent variables and the crocins yield were correlated by the following quadratic polynomial model:

The models evaluated for lindane and DDT were significant based on the quadratic polynomial regression.

To obtain appropriate coefficients of the quadratic polynomial, we can adjust the scene center, the reference range, or the platform position, such that the simulation curve and the range migration curve of a strong point are basically coincident.

which is a two-dimensional quadratic polynomial map defined in the complex 2-space [C.sup.2].

Since the definite quadratic polynomial is generalization of the hyperbolic quadratic polynomial, let us briefly consider the hyperbolic quadratic polynomial.

Our most general parametric model with a quadratic polynomial of age that is fully interacted with the treatment variable can be written as:

The relationship between CWSI and Pn, Tr or gs at noon was described by quadratic polynomial equations.

The quadratic polynomial on latitude and longitude, and the quadratic curves of latitude and longitude with respect to time are fitted based on information about sea surface height, latitude, longitude and time of altimetry point, respectively.

The main purpose of this paper is to find out the convergence rate of histopolating combined splines consisting of linear/linear rational or quadratic polynomial pieces when the function to histopolate is not necessarily monotone.

For beginning the study of the dynamics of this family, we apply the operator associated to (1) on quadratic polynomials. Taking into account that this family satisfies the scaling theorem (see [9]), the rational operators obtained when applying the method on every quadratic polynomial are conjugated to the one obtained on p(z) = [z.sup.2] + a.