Title of article :
Total least squares fitting Bass diffusion model
Author/Authors :
Juki?، نويسنده , , Dragan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Abstract :
This paper is concerned with the Bass model, which is widely used as a first-purchase diffusion model in marketing research. Estimation of its parameters has been approached in the literature by various techniques. In this paper, we consider the nonlinear weighted total least squares (TLS) fitting approach. We show that it is possible that the TLS estimate does not exist. As a main result, two theorems on the existence of the total least squares estimate are obtained, as well as their generalization in the total l s norm ( 1 ≤ s < ∞ ). Several illustrative numerical examples are given to illustrate the efficiency of our approach.
Keywords :
Existence problem , Data fitting , Bass model , Total least squares estimate , Total least squares
Journal title :
Mathematical and Computer Modelling
Journal title :
Mathematical and Computer Modelling