Smooth estimation of size distributions in an oriented cylinder model

Geurt Jongbloed (), Kimberly S. McGarrity () and Jilt Sietsma
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Geurt Jongbloed: Delft University of Technology
Kimberly S. McGarrity: Delft University of Technology and Materials innovation institute
Jilt Sietsma: Delft University of Technology

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2021, vol. 30, issue 2, No 12, 505-526

Abstract: Abstract Kernel estimators are proposed for estimating the cumulative distribution functions and the probability density functions of several quantities of interest in a stereological oriented cylinder model. This oriented cylinder model was developed to represent anisotropic microstructural features in materials. The asymptotic properties of these estimators are studied, and the estimators are applied to two banded dual phase steel microstructures. The estimation method is quite general and can also be applied to distributions of other univariate quantities of interest.

Keywords: Nonparametric estimation; Asymptotics; Materials science; Inverse problem; Stereology; 62G05; 62G20; 62P30 (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11749-020-00729-9

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