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Purely experimental deviations, matrix

In a sense, calculating the mean replicate response removes the effect of purely experimental uncertainty from the data. It is not unreasonable, then, to expect that the deviation of these mean replicate responses from the estimated responses is due to a lack of fit of the model to the data. The matrix of lack-of-fit deviations, L, is obtained by subtracting f from J... [Pg.159]

The matrix of purely experimental deviations, P, is obtained by subtracting J from... [Pg.160]

The author gives an exampie of a study concerning a mixture of ethanol, toluene and ethyl acetate. The case is presented in the form of a Scheffe plan for which choice of compound quantities are not optimised to obtain a good matrix as shown in the matrix of effects correiation there is no point repetition in the middle of the matrix, which thus exciudes the quantification of the level of error of measurement that can only be estimated by the residual standard deviation of the regression. Finaliy, the author uses flashpoints of pure substances from partial experimental data. The available data give 9 to IS C for ethanol (the author 12.8), 2 to 9°C for toluene (5.56) and -4 to -2°C for ethyl acetate. [Pg.69]

Figure 4.8 shows experimental results for the deviation density matrix obtained after applying each operation for a 2-qubit system Uq, U, and U2 as well as the average state (see also Problems P4.3 and P4.4). The deviation density matrices were obtained using the quantum state tomography process, which will be described in the next section. As it can be seen, the final averaged deviation density matrix is very similar to that of the pure state 100). [Pg.156]


See other pages where Purely experimental deviations, matrix is mentioned: [Pg.282]    [Pg.4]    [Pg.116]    [Pg.371]    [Pg.10]    [Pg.873]    [Pg.144]    [Pg.371]    [Pg.587]    [Pg.491]    [Pg.21]    [Pg.169]    [Pg.61]    [Pg.191]    [Pg.106]   
See also in sourсe #XX -- [ Pg.142 ]




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Experimental matrix

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