Hypothesis squares , prediction

Van der Voet [21] advocates the use of a randomization test (cf. Section 12.3) to choose among different models. Under the hypothesis of equivalent prediction performance of two models, A and B, the errors obtained with these two models come from one and the same distribution. It is then allowed to exchange the observed errors, and c,b, for the ith sample that are associated with the two models. In the randomization test this is actually done in half of the cases. For each object i the two residuals are swapped or not, each with a probability 0.5. Thus, for all objects in the calibration set about half will retain the original residuals, for the other half they are exchanged. One now computes the error sum of squares for each of the two sets of residuals, and from that the ratio F = SSE/JSSE. Repeating the process some 100-2(K) times yields a distribution of such F-ratios, which serves as a reference distribution for the actually observed F-ratio. When for instance the observed ratio lies in the extreme higher tail of the simulated distribution one may... 

Several criteria can be used to select the best models, such as the F-test on regression, the adjusted correlation coefficient (R ad) and the PRESS [20] (Predictive error sum of squares). In general, even only adequate models show significant F values for regression, which means that the hypothesis that the independent variables have no influence on the dependent variables may not be accepted. The F value is less practical for further selection of the best model terms since it hardly makes any distinction between different predictive models. 

The basic strategy in the application of electroanalytical methods in studies of the kinetics and mechanisms of reactions of radicals and radical ions is the comparison of experimental results with predictions based on a mechanistic hypothesis. Thus, equations such as 6.28 and 6.29 have to be combined with the expressions describing the transport. Again, we restrict ourselves to considering transport governed only by linear semi-infinite diffusion, in which case the combination of Equations 6.28 and 6.29 with Fick s second law, Equation 6.18, leads to Equations 6.31 and 6.32 (note that we have now replaced the notation for concentration introduced in Equation 6.18 earlier by the more usual square brackets). Also, it is assumed here that the diffusion coefficients of A and A - are the same, i.e. DA = DA.- = D. 

Chi-square Test of Homogeneity n Atype of chi-square test for quantifying how consistent a proportion, result, or outcome is across more than one sample of a population or across more than one population. One would not expect the proportions, etc., to be identical across different samples even from the same population however, one would expect the proportions to be closer than that predicted by chance alone if the proportions were not due to random chance alone. The chi-square test of homogeneity uses the null hypothesis that the samples are homogenous with respect to the proportion, etc., under consideration. The chi-square test to test whether the... 

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