Solving parameter estimation problem in new product diffusion models.
type: Item
instance of: scholarly article
title: Solving parameter estimation problem in new product diffusion models.
zbMATH Open document ID: 1034.93015
DOI: 10.1016/S0096-3003(00)00164-8
author: Rudolf Scitovski
author: Marcel Meler
published in: Applied Mathematics and Computation
publication date: 2003-01-28T00:00:00Z
review text: This paper proposes a method for parameter identification in new product diffusion models. The method works when the solution of the differential equation describing the model is known or not. The method is based on a finite differences method and the moving least squares method for data smoothing. It is simple to implement and the computing time is very small. Numerical experiments are provided.
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 93B40
zbMATH DE Number: 1861030
zbMATH Keywords: diffusion model
zbMATH Keywords: parameter identification
zbMATH Keywords: finite differences method
zbMATH Keywords: moving least squares method
zbMATH Keywords: data smoothing
reviewed by: Yves Cherruault
MaRDI profile type: Publication
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full work available at URL: s0096-3003(00)00164-8
OpenAlex ID: W2070778105
description: scientific article; zbMATH DE number 1861030