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The key focus of this paper is to study about Lundqvist-Korf model and Kanis model, two nonlinear growth models. The primary objective is to introduce new methods of estimation to estimate the parameters of the Lundqvist-Korf model and Kanis model. Investigating this paper also offers a more effective means of addressing the properties attributed by the models. Traditionally, nonlinear optimization techniques are used to estimate the parameters of these models which involves a large number of calculations, however, the models introduced here are easy to understand and can also be applicable for a small size of dataset rendering it substantial across a diverse array of contexts.

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A Study to Introduce New Methods of Estimation to Estimate the Parameters of Lundqvist-Korf Growth Model and Kanis Growth Model

  • 会议论文

  • 发表日期：

    2025年

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  • Pallabi Saikia,
  • Barsha Saikia,
  • Nuklukaba Longkumer,
  • Nipan Saharia,
  • Rakhit Ranjan Gowalla,
  • Dimpal Jyoti Mahanta

摘要

The key focus of this paper is to study about Lundqvist-Korf model and Kanis model, two nonlinear growth models. The primary objective is to introduce new methods of estimation to estimate the parameters of the Lundqvist-Korf model and Kanis model. Investigating this paper also offers a more effective means of addressing the properties attributed by the models. Traditionally, nonlinear optimization techniques are used to estimate the parameters of these models which involves a large number of calculations, however, the models introduced here are easy to understand and can also be applicable for a small size of dataset rendering it substantial across a diverse array of contexts.