Development of a Novel Web-based WebECGR Package for Estimation of Compound Growth Rates for Monotonically Non-decreasing situations

Abstract

The compound growth rate (CGR) is generally estimated by assuming that the path of response variable can be described by either Malthus model or monotonically non-decreasing nonlinear growth models, like monomolecular, logistic and Gompertz models. In this article, the methodology for its estimation is discussed by employing more advanced parametric nonlinear growth models exhibiting sigmoid behaviour, viz. Richards and mixed-influence models. As the methodology is quite complicated, an online userfriendly web-based application, viz. WebECGR package has been developed, and the same has been uploaded under the link ‘Online Analysis of Data’ at I.A.S.R.I. website http://iasri.res.in/cgr. A brief description of this package has been provided in this paper. For illustrating its use, the CGR for India’s wheat yield has been estimated during the period 1950-51 to 2011-12 through Richards model using WebECGR package.