Bechhofer, R. E., Santner, T. J., and Goldsman D. (1995), Design and Analysis for Statistical Selection, Screening and Multiple Comparisons, John WUey Sons, New York. [Pg.2494]

We observe that the covariance indicator (cov(x,y)) has an expression which is similar to the dispersion of a statistical selection datum near the mean value (Eq. (5.11)). It is important to specify that the notion of variance (or dispersion) differs completely from the notion of covariance. [Pg.351]

The system above contains N equations and consequently it will produce a single real solution for Pq, Pi,P (n unknowns). It is necessary to specify that the size of the statistical selection, here represented by Ne, must be appreciable. Moreover, whenever the regression coefficients have to be identified, Ne must be greater than n. This system (5.9) is frequently called system of normal equations [5.4, 5.12-5.14]. [Pg.330]

In a process, when the value domain of each of the independent variables is the same in the passive and in the active experiments simultaneously, two identical statistical models are expected. The model is thus obtained from a statistical selection and its different states are represented by the response curves, which combine the input parameters for each of the output parameters. [Pg.326]

Unlike many dosage form specifications, the sterility specification is an absolute value. A product is either sterile or nonsterile. Historically, judgment of sterility has relied on an official compendial sterility test however, end-product sterility testing suffers from a myriad of limitations [1-4], The most obvious limitation is the nature of the sterility test. It is a destructive test thus, it depends on the statistical selection of a random sample of the whole lot. Uncertainty will always exist as to whether or not the sample unequivocally represents the whole. If it were known that one unit out of 1000 units was contaminated (i.e., contamination rate = 0.1%) and 20 units were randomly sampled out of those 1000 units, the probability of that one contaminated unit being included in those 20 samples is 0.02 [5], In other words, the chances are only 2% that the contaminated unit would be selected as part of the 20 representative samples of the whole 1000-unit lot. [Pg.123]

A crude criterion for identifying the genes that discriminate between all the classes is the f-test. The f-statistic selects features under the following ranking criterion [Pg.140]

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