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Y estimate

Y = value of Y estimated from the best linear relationship with the second variable X... [Pg.105]

Fundamentally, the uncertainties of measured values y estimated by calibration, e.g. according to Eq. (6.6), on the one hand and of analytical results x (analyte contents, concentrations) estimated by means of a calibration function, e.g. according to Eq. (6.17), on the other hand differ from one another as can be seen from Fig. 6.3B,C, and Fig. 6.7. Whereas the uncertainty of y values in calibration is characterized by the confidence interval cnf(y), the uncertainty of estimated x values is characterized by the prediction interval prd(x). [Pg.160]

Lin DY, Feuer EJ, Etzioni R, Wax Y. Estimating medical costs from incomplete follow-up data. Biometrics 1997 53 113-28. [Pg.54]

Rather than pursue the fractions or their composite any further, we turn next to an empirical approach due to Fowkes to estimate the product y for various substances. We use the symbol yd to represent the London contributions to y estimated by his method. The notation is derived from the fact that London forces are also called dispersion (superscript d) forces (see, for example, Chapter 10, Section 10.7b). In this notation Equation (98) can be written... [Pg.289]

Y Estimated, unit length, intrinsic profiles in the Y order. [Pg.502]

Suwa, N., Niwa, T., Fukasawa, H., and Sasaki, Y., Estimation of intravascular blood pressure gradient by mathematical analysis of arterial casts, Tohoku Journal of Experimental Medicine, Vol. 79, 1963, pp. 168-198. [Pg.403]

Mori, S., Wen, C.Y., "Estimation of Bubble Diameter in Gaseous Fluidized-Beds", AIChE Journal, 1975, j, 109. [Pg.74]

Fig. 2.18. Breakdown susceptibility as a function of the applied voltage in the dielectric breakdown problem for several sample sizes (from Acharyya and Chakrabarti 1996a). The inset shows that AF b, the difference of E y estimates from the peak position in x tnd from the percolation of the broken cluster, decreases with increasing system size. Fig. 2.18. Breakdown susceptibility as a function of the applied voltage in the dielectric breakdown problem for several sample sizes (from Acharyya and Chakrabarti 1996a). The inset shows that AF b, the difference of E y estimates from the peak position in x tnd from the percolation of the broken cluster, decreases with increasing system size.
Dewar s variant (LSI-153) y and y estimated from spectro.scopic values Wolfsherg-Helmholtz (135) y Katagiri and Sandorfy (156) y Pariser and Parr (138,139)... [Pg.22]

Crystal Density y Aperture y Estimated Saturation Sorptions, Cm at... [Pg.17]

The SE(y) parameter, the standard error of the y estimate, is sometimes referred to as the RMSD (root-mean-square deviation). [Pg.210]

C. J. O Brien and J. R. Perrin, Marquardt Corp., Van Nuys, Calif, and J. Perrine, Olin Mathieson Chemical Corp. 22, N. Y., "Estimation of the Heats of Formation of Gaseous Combustion Product Molecules", October, 1959. [Pg.387]

Maruyama W, Aoki Y. Estimated cancer risk of dioxins to humans using a bioassay and physiologically based pharmacokinetic model. Toxicol Appl Pharmacol 2006 214 188-98. [Pg.65]

Clift, R. Grace, J.R. Weber, M.E. Bubbles, Drops and Particles Academic Press New York, 1978. Massimilla, L. Gas jets in fluidized beds. In Fluidization, 2nd Ed. Davidson, J.F., Clift, R., Harrison, D., Eds. Academic Press London, 1985. Mori, S. Wen, C.Y. Estimation of bubble diameter in gaseous fluidized beds. AIChE J. 1975, 21, 109. [Pg.1005]

K13. Kondo, T., Murakami, K., Ohthuka, Y., Tsuji, M., Gasa, S., Tanaguchi, N., and Kawakami, Y., Estimation and characterization of glycosylated carbonic anhydrase I in erythrocytes from patients with diabetes mellitus. Clin. Chim. Acta 166, 227-236 (1987). [Pg.54]

The next step is to calculate the standard error of the regression syjx. First, we must calculate j, the value of Y estimated from the regression for each xt. Hence for each concentration of the standards, xu fv can be calculated using the regression equation we have now established y = 0.0188 + 0.9197V,. The calculated values of j, for each. v, are shown in spreadsheet 5.1. Now we can determine sy/x using... [Pg.137]

Another assumption is that s, is normally distributed with mean 0 and variance Rj and that Uj is normally distributed with mean 0 and variance G. The latter assumption is the prior distribution of the parameters Uj. Once data are collected, the posterior distribution of Uj can be generated conditional on Y . Estimation of U is given by the average of the values for the ith subject and the population mean. If the subject mean is higher than the population mean then this would suggest that Uj is positive. Given the assumptions for the model, the expected value of Uj given the subject mean is... [Pg.191]

Sheiner, L.B., Rosenberg, B., and Marathe, Y.Y. Estimation of population characteristics of pharmacokinetic parameters from routine clinical data. Journal of Pharmacokinetics and Biopharmaceutics 1977 5 445-479. [Pg.378]

Here we should introduce the notion of linearity and nonlinearity of the model with respect to the parameters, since they are the unknown quantities. The following notations will be used here y-estimated dependent (measured) variable x-independent variable, / -parameter. The concept of linearity-nonlinearity is illustrated with a simple example assume that batch reactor experiments for a first-order reaction, A- P, rA = -kc4, have been carried out. The concentration of component A, ca, has been measured as a function of the reaction time. [Pg.424]


See other pages where Y estimate is mentioned: [Pg.132]    [Pg.1379]    [Pg.110]    [Pg.106]    [Pg.404]    [Pg.170]    [Pg.503]    [Pg.504]    [Pg.227]    [Pg.198]    [Pg.773]    [Pg.53]    [Pg.156]    [Pg.106]    [Pg.404]    [Pg.621]    [Pg.475]    [Pg.312]    [Pg.569]    [Pg.66]    [Pg.67]    [Pg.73]    [Pg.74]    [Pg.612]    [Pg.79]    [Pg.57]    [Pg.382]    [Pg.183]   
See also in sourсe #XX -- [ Pg.34 , Pg.120 , Pg.337 , Pg.381 ]

See also in sourсe #XX -- [ Pg.34 , Pg.120 , Pg.341 , Pg.385 ]




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Estimating y via Confidence Intervals

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