Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4629173 | Applied Mathematics and Computation | 2013 | 10 Pages |
Abstract
The Bass model is one of the most well-known and widely used models of first-purchase demand. Estimation of its parameters has been approached in the literature by various techniques. The focus of this paper is on a nonlinear weighted least squares fitting approach. As a main result, two theorems on the existence of the least squares estimate are obtained. One of them gives necessary and sufficient conditions which guarantee the existence of the least squares estimate. Some numerical experiments are given to illustrate the efficiency of our approach.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Dragan Jukić,