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Experimental Optimization of Research Subject

To calculate values of response (yj, the regression model, with all regression coefficients disregarding their statistical significance, was used in each trial. Variance of lack of fit is calculated by the formula (2.173) [Pg.385]

A second-order regression model is adequate with 95% confidence since Fr=2.35 Ft=4.95. [Pg.385]

Experimental Optimization of Research Subject 427 Table 2.216 FUFE 23 and method of steepest ascent... [Pg.427]

See other pages where Experimental Optimization of Research Subject is mentioned: [Pg.385] [Pg.385] [Pg.387] [Pg.389] [Pg.391] [Pg.393] [Pg.395] [Pg.397] [Pg.399] [Pg.401] [Pg.403] [Pg.405] [Pg.407] [Pg.409] [Pg.411] [Pg.413] [Pg.415] [Pg.417] [Pg.419] [Pg.421] [Pg.423] [Pg.425] [Pg.429] [Pg.431] [Pg.433] [Pg.435] [Pg.437]

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Experimental optimization

Experimental subject

Research subjects