Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Gompertz: A Scilab Program for Estimating Gompertz Curve Using Gauss-Newton Method of Least Squares | Dastidar | Journal of Statistical Software
Authors: Surajit Ghosh Dastidar
Title: Gompertz: A Scilab Program for Estimating Gompertz Curve Using Gauss-Newton Method of Least Squares
Abstract: A computer program for estimating Gompertz curve using Gauss-Newton method of least squares is described in detail. It is based on the estimation technique proposed in Reddy (1985). The program is developed using Scilab (version 3.1.1), a freely available scientific software package that can be downloaded from http://www.scilab.org/. Data is to be fed into the program from an external disk file which should be in Microsoft Excel format. The output will contain sample size, tolerance limit, a list of initial as well as the final estimate of the parameters, standard errors, value of Gauss-Normal equations namely GN1 GN2 and GN3, No. of iterations, variance(σ2), Durbin-Watson statistic, goodness of fit measures such as R2, D value, covariance matrix and residuals. It also displays a graphical output of the estimated curve vis a vis the observed curve. It is an improved version of the program proposed in Dastidar (2005).

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Paper: Gompertz: A Scilab Program for Estimating Gompertz Curve Using Gauss-Newton Method of Least Squares     Download PDF (Downloads: 14881)
Supplements:
Gompertz.sce.txt: Gompertz.sce: Program code Download (Downloads: 1900; 9KB)

DOI: 10.18637/jss.v015.i12

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.