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Curve Fitting Derivative Method and Its Application in Mouse Growth

  • Zhihua Li
  • Xin Zhao
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 545)

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.

Keywords

Mouse growth Parameter estimation Curve fitting Derivative method 

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.College of Information TechnologyJilin Agricultural UniversityChangchunChina

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