1991
DOI: 10.1093/ee/20.2.484
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Time Versus Rate in Parameter Estimation of Nonlinear Temperature-Dependent Development Models

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Cited by 20 publications
(13 citation statements)
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“…For both time and rate, the respective coefÞcients of determination were adequate (rate model, R 2 ϭ 0.9949, time model, R 2 ϭ 0.9889). Kramer et al (1991) suggested that time would be the best predictor because the model was empirically derived from time.…”
Section: Resultsmentioning
confidence: 99%
“…For both time and rate, the respective coefÞcients of determination were adequate (rate model, R 2 ϭ 0.9949, time model, R 2 ϭ 0.9889). Kramer et al (1991) suggested that time would be the best predictor because the model was empirically derived from time.…”
Section: Resultsmentioning
confidence: 99%
“…Kramer et al (1991) showed that erroneous predictions could occur in least square estimations when model parameters are estimated by using some modiÞed form of data, such as rate (1/ developmental time). Minimizing the squared error for development rate is not the same as minimizing the squared error for developmental time, especially in the longer developmental time range.…”
Section: Experimental Arenas and Hydroprene Formulationmentioning
confidence: 99%
“…Interpretation of insect population dynamics and the formulation of phenological models require accurate description of development in relation to temperature (Liu et al, 1995). Numerous attempts have been made to develop temperature-dependent models of insect development that can be applied under a wide range of conditions (see Ratte, 1985;Krammer et al, 1991;Liu et al, 1995 for reviews).…”
Section: Introductionmentioning
confidence: 99%