By Donald S. Farner, James R. King and Kenneth C. Parkes (Eds.)
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Neutrinos remain the main mysterious and, arguably, the main interesting debris of the normal version as their intrinsic homes reminiscent of absolute mass scale and CP houses are unknown. The open query of absolutely the neutrino mass scale can be addressed with exceptional accuracy through the Karlsruhe Tritium Neutrino (KATRIN) scan, presently lower than building.
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Crome on Australian fruits, Foster (1978) reported protein/energy ratios from considerably less than 1 to as high as 6 (Ficus, Moraceae). White (1974) reported high values of 4 (Phytolacca, Phytolaccaceae, and Faramea, Rubiaceae) and almost 6 (Cordia, Boraginaceae). Four species of Ficus varied between 1 and 2. Based on measurements of protein accumulation and oxygen consumption during the early part of the nestling period, White (1974) determined that Clay-colored Robins (Turdus grayi) and Yellow-bellied Elaenias (Elaenia flavogaster) required protein-energy ratios of between 6 and 9; hence fruits do not appear to provide adequate protein for rapid growth.
When it is possible to measure initial size and asymptote directly, these parameters may be fixed, leaving only growth rate and, if the Richards equation is used, shape to be fitted to the data. Various transformations to linearize data are discussed by Nair (1954). An additional transformation discussed by Ricklefs (1967a) illustrates the technique for the logistic equation. By rearranging Eq. (6), we obtain '4ΜΠ%)]=Kt~Ki w Hence if masses are transformed as the left-hand term in the equation, the parameters K and / can be estimated by linear regression, y = a + bx, where K= b and 7 = —a/K.
At hatching and adulthood), and age may be replaced by some arbitrary development scale such as time at fledging, depending on the purpose of the analysis. Comprehensive multivariate analyses of longitudinal data have been attempted for data on birds only by O'Connor (1978b). The applicability of these analyses to the various types of data is summarized in Table V. D. CURVE FITTING The objective of curve fitting is to use an equation having few variables to describe the time course of longitudinal data.