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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
Published in: journal Stochastic Analysis and Applications, Volume 13, Issue 3 1995 , pages 279 - 294
Formats available: PDF (English)
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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
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