In this insert we present programs to perform several procedures designed to estimate the parameters of the von Bertalanffy growth function. Three of them are linear derivations from the basic growth equation, and the last one uses a nonlinear regression approach. The programs are applied to data coming from hard parts reading and length frequency analysis described below carried out by means of ther application of kernel density estimation (KDE). The multimodal distributions are analyzed by means of an updated version of the semigraphical determination of Gaussian components presented in sg23 in STB-18. This contribution intends to introduce an alternative way to analyze length frequency data (by nonparametric and computing-intensive procedures) in conjunction with automated versions of the traditional methods to obtain growth expressions from the estimated sizes. The same computerized algorithms can be applied to ages estimated by fish hard parts reading.
