An Extension of Generalized Triphasic Logistic Human Growth Model

Journal of Biometrics & Biostatistics

article

Abu Shahin¹  Ayub Ali¹  A. B. M. Shawkat Ali² 

[1] Department of Statistics, University of Rajshahi;School of ICT, Central Queensland University

关键词: Higher dimensional growth model;    Human biological characteristics;    Logistic model;    Principal component regression;    Bayesian approach;    Velocity;    Acceleration;    Gradient vector;    Hessian matrix;   

DOI  :  10.4172/2155-6180.1000162

来源: Hilaris Publisher

【 摘 要 】

The purpose of the present study was to establish an extension of generalized tri-phasic logistic human growth model. This model was applied through the higher dimensional growth process. Bayesian method of estimation was applied to estimate the parameters of the model. Principal component regression method was applied when there was a problem of multicollinearity in the model. The biological characteristics of the human growth process were extracted from the velocity and acceleration curve using gradient vector and Hessian matrix.

【 授权许可】

Unknown