Defining and Applying a New Approximation for the Parametric Probability Densities of Spherical Particle Profile Sizes

Authors

  • Ekaterina Poliakova Arctic and Antarctic Research Institute, Norwegian University of Science and Technology

DOI:

https://doi.org/10.5566/ias.2539

Keywords:

distribution parameters, maximum likelihood, probability density function, small samples, spherical particles, statistics

Abstract

A novel approximation for the parametric probability densities of spherical particle profile diameters is suggested. The spheres are approximated from solids obtained by rotating regular polygons around their axes of symmetry. This approximation facilitates using the maximum likelihood method in samples that have too few profiles for applying classical stereological approaches.

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Published

2022-04-08

How to Cite

Poliakova, E. (2022). Defining and Applying a New Approximation for the Parametric Probability Densities of Spherical Particle Profile Sizes. Image Analysis and Stereology, 41(1). https://doi.org/10.5566/ias.2539

Issue

Section

Original Research Paper