Asymptotic properties of the maximum likelihood estimators of parameters of a spatial counting process modelling crystallization of polymers
Authors:
Vincenzo Capasso ab;
Marcello De Giosa c;
Rosamaria Mininni c
| Affiliations: | a Department of Mathematics ”F. Enriques”, University of Milano, Milano, Italy |
| b I.R.M.A, Institute for Research in Applied Mathematics, Bari, Italy | |
| c Department of Mathematics, Campus Universitario, Bari, Italy |
DOI:
10.1080/07362999508809398
Publication Frequency:
6 issues per year
Formats available:
PDF
(English)
View Article:
View Article (PDF)
Abstract
The stochastic process of crystallization of polymers is described in terms of a multidimensional spatial counting process, whose intensity depends upon the free volume. The MLE of the nucleation rate is provided, together with its asymptotic properties, consistency and asymptotic normality. The convergence results are obtained by methods proposed by T.G. Kurtz and the Central Limit Theorem for martingales
|
| view references (17) |

Download Citation

CiteULike
Del.icio.us
BibSonomy
Connotea