| Abstrakt: |
Many linear and non-linear models have been proposed by various authors for the study of approximation of non linear models by statistical models which are linear in its parameters. Several non linear models have been suggested for the data sets which are prima facie appear like convex or concave curves. Smith (1938), jessen (1942) and Hansen et.al. (1953), Misra (2010), Shukla et.al. 2018), Tiwari (2022) have proposed various non-linear models for the comparative study for such data sets and they compared the parameters like coefficient of determination and sum of squired error. In this paper I have suggested an application of a three parameter linear model to compare these parameters of interest for the data sets which form convex or concave curves. [ABSTRACT FROM AUTHOR] |
