Growth Curve Estimation Model

EasyChair Preprint 14369

Abstract

The Growth Curve Estimation Model provides a quantitative framework for analyzing and predicting the development trajectories of various phenomena over time. This model is particularly valuable in fields such as education, healthcare, and economics, where understanding growth patterns can inform decision-making and policy formulation. By leveraging statistical and machine learning techniques, the model offers a robust approach to estimating growth curves, which represent the relationship between a dependent variable and time or age.

Keyphrases: - **3D Body Scanning**, - **Adaptive Furniture**, - **Anthropometric Measurements**, - **Bayesian Methods**, - **Data Normalization**, - **Ergonomic Design**, - **Furniture Design**, - **Growth Curve Estimation**, - **Growth Prediction**, - **Interdisciplinary Research**, - **Long-Term Usability**, - **Longitudinal Data**, - **Mixed-Effects Models**, - **Model Validation**, - **Modeling Techniques**, - **Pediatric Healthcare**, - **Predictive Analytics**, - **Sports Equipment Design**, - **Wearable Sensors**

@booklet{EasyChair:14369,
  author    = {Wayzman Kolawole},
  title     = {Growth Curve Estimation Model},
  howpublished = {EasyChair Preprint 14369},
  year      = {EasyChair, 2024}}