TY - JOUR
TI - Some important details on Richard growth model
AU - Gürcan Mehmet
AU - Demirelli Arzu E
JN - Thermal Science
PY - 2019
VL - 23
IS - 16
SP - 1901
EP - 1908
PT - Article
AB - The distribution of the data is very important in all of the parametric  methods used in the applied statistics. More clearly, if the experimental  data fit well to the theoretical distribution, the results will be more  efficient in parametric methods. The adaptability of experimental data to a  theoretical distribution depends on the flexibility of the theoretical  distribution used. If the flexibility of the theoretical distribution is  sufficient, it can be used easily for experimental data. Most of the  theoretical distributions have shape and location parameters. However, these  two parameters are not always sufficient for the distribution to adapt to  the experimental data. Therefore, theoretical distributions with high  flexibility in parametric methods are needed. Obtaining the new theoretical  distributions that provide this feature is important for the literature. In  this study, a new probability distribution has been obtained via Richard  link function which has been high flexibility. In the introduction,  important information is given related to growth models and Richard growth  curve. Later, some details about the Richard distribution and wrapped  distribution have been given.