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Curve Fitting Derivative Method and Its Application in Mouse Growth

Abstract : [Goal] Exploring change rules of the mouse growth, providing genetic data for the prediction and production of genetic analysis in scientific research and basic data for the standards of laboratory animals. [Method] Mice were weighed at 10 time points, including 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 weeks of age, and the corresponding data were recorded. Both general and derivative methods of Gompertz curve parameter estimation were used to analyze the mice. Then, the parameter values and the fitting degree $$ (R^{2} ) $$ were calculated. [Result] The derivative method has the highest $$ R^{2} $$ (0.993734), followed by the three-point method $$ R^{2} $$ (0.990689). [Conclusion] The derivative method of Gompertz curve parameter estimation has the best effect on mouse fitting and can be used for the estimation and prediction of mouse growth.
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https://hal.inria.fr/hal-02124263
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Submitted on : Thursday, May 9, 2019 - 1:38:59 PM
Last modification on : Thursday, May 9, 2019 - 1:41:49 PM

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Zhihua Li, Xin Zhao. Curve Fitting Derivative Method and Its Application in Mouse Growth. 11th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Aug 2017, Jilin, China. pp.126-133, ⟨10.1007/978-3-030-06137-1_13⟩. ⟨hal-02124263⟩

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