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In his initial growth curve analyses, Ebbinghaus (~1880) described his forgetting curves using a form of the classic exponential growth model (see Figure 183) in which the rate of change is de ned as a linear function of the percentage of initial size (eg, compound interest) The Velhurst (~1839) curve of population growth, an S-shaped logistic curve, was used by Pearl (~1925) for many forms of cognitive growth In related work, Thurstone (~1919) found that a hyperbolic curve of learning best t the norms of many different tests; Peters (~1930) advocated an ogival curve of growth in ideational learning; and Ettlinger (~1926) and Valentine (~1930) demonstrated the relationships among these functions (see Bock & Thissen, 1980; Seber & Wild, 1989).

Agricultural Water Management, 69: 43 67 Joint Science Academies, 2005, Joint Science Academies Statement: global response to climate change National Academies of Science of Brazil, Canada, China, France, Germany, India, Italy, Japan, Russia, UK and USA (7 June 2005) National Academy of Science, Washington DC Jones, CJFP and Cooper, AH, 2005, Road construction over voids caused by active gypsum dissolution, with an example from Ripon, North Yorkshire, England Environmental Geology, 48: 384 394 Jones JB and Mulholland, PJ, 2000, Streams and Ground Waters Academic Press, San Diego Kalin, RM and Roberts, C, 1997, Groundwater resources in the Lagan Valley sandstone aquifer, Northern Ireland Journal of the Chartered Institution of Water and Environmental Management, 11: 133 139 Kaplan, LA and Newbold, JD, 2000, Surface and subsurface dissolved organic carbon In: Jones JB, and Mulholland, PJ.

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A popular model for physical growth was initially presented by Gompertz (~1825), who described the derivative (instantaneous rate of change) of the growth curve in terms of two exponential accumulations of different rates toward different asymptotes This exible model was studied by Winsor (~1932), used by Medwar (~1940) to study the growth of chicken hearts, and used by Deming (~1957) for human physical growth Another popular growth model was introduced by von Bertalanffy (1938, 1957) and proposed that the individual s change in a physical variable (eg, weight) was the direct result of the difference in opposing forces of anabolism and catabolism Although the exact relationship among these forces was not known, von Bertalanffy used a xed alliometric value (of = 2/3) based on prior research.

These hidden messages are sometimes known as Easter Eggs. Each version of Excel has its own Easter Egg. To view Excel 2000 s Easter Egg, follow these steps: 1. Open a new Excel workbook. 2. Press F5. 3. Type X2000:L2000 and press Enter. 4. You should now be on row 2000. 5. Press Tab once, to move to column M. 6. Hold Control and Shift, then right-click the Chart Wizard icon on the Standard toolbar. Some people have reported that it works only if you left-click the Chart Wizard icon. Watch the list of developers for Excel scroll by.

(eds) Streams and Ground Waters Academic Press, San Diego, pp 237 258 Karami, GH and Younger, PL, 2002, Analysing step-drawdown tests in heterogeneous aquifers Quarterly Journal of Engineering Geology and Hydrogeology, 35: 295 303 Kemper, KE, Mestre, E, and Amore, L, 2003, Management of the Guarani aquifer system moving towards the future Water International, 28: 185 200 Khan, LR and Mawdsley, JA, 1988, Reliable yield of uncon ned aquifers Hydrological Sciences Journal, 33: 151 170 Khoury, HN, Salameh, E, and Abdul-Jaber, Q, 1985, Characteristics of an unusual highly alkaline water from the Maqarin area, northern Jordan Journal of Hydrology, 81: 79 91 Kiernan, K, Wood, C, and Middleton, G, 2003, Aquifer structure and contamination risk in lava ows: insights from Iceland and Australia Environmental Geology, 43: 852 865 King, JK.

In related work on nonlinear growth models, Richards (1959) criticized and expanded the original von Bertalanffy model by demonstrating how all prior models can be seen as speci c solutions of a family of deterministic differential equations (ie, speci c restrictions led to the exponential, logistic, Gompertz, and von Bertalanffy equations) This work was extended by Nelder (1961) and Sandland and McGhilcrest (1978; for reviews, see Sieber & Wild, 1989; Zeger & Harlow, 1987) Attempts to t a single growth model to observations over a wide range of ages with a minimal set of parameters led researchers to combine aspects of other models A more recent expansion based on the logistic model was developed by Preece and Baines (1978), who suggested that all previous models could be written as a derivative based on some prede ned function of time and some asymptotic value.

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