Examining Table 1.5, it will be seen that the four sub-batches of each batch include all four treatments. At the same time, with each of the four treatments all four reactors occur once and only once and all four batches occur once and only once. Possible errors due to differences between Batches and between Reactors are thus eliminated both from the averages, thus allowing unbiassed estimates to be obtained, and also from the error, thus making the latter a minimum. [Pg.13]

Average food intake and body weight is recorded for each day. Average values of candidate compounds are compared statistically for each day with the control group. Results after oral administration have to be confirmed by parenteral route in order to exclude errors due to palatability. [Pg.191]

The accuracy of the averaged model truncated at order p9(q 0) thus depends on the truncation of the Taylor series as well as on the truncation of the perturbation expansion used in the local equation. The first error may be determined from the order pq 1 term in Eq. (23) and may be zero in many practical cases [e.g. linear or second-order kinetics, wall reaction case, or thermal and solutal dispersion problems in which / and rw(c) are linear in c] and the averaged equation may be closed exactly, i.e. higher order Frechet derivatives are zero and the Taylor expansion given by Eq. (23) terminates at some finite order (usually after the linear and quadratic terms in most applications). In such cases, the only error is the second error due to the perturbation expansion of the local equation. This error e for the local Eq. (20) truncated at 0(pq) may be expressed as [Pg.283]

See also in sourсe #XX -- [ Pg.85 ]

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