Estimation of Wood Fibre Length Distributions from Censored Data through an EM Algorithm

DOI10.1111/J.1467-9469.2006.00501.XzbMath1114.62142OpenAlexW2057857091MaRDI QIDQ101428

Sara Sjöstedt-de Luna, Lennart Bondesson, Ingrid Svensson

Publication date: September 2006

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2006.00501.x

zbMATH Keywords

finite mixture modelMonte Carlo EM-algorithmbiased sample

Mathematics Subject Classification ID

Point estimation (62F10) Monte Carlo methods (65C05) Applications of statistics (62P99)

Related Items (2)

Estimation of Fibre Length Distributions from Fibre Endpoints ⋮ Asymptotic properties of a stochastic EM algorithm for mixtures with censored data

Cites Work

• A stochastic EM algorithm for mixtures with censored data
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• The Two‐interval Line‐segment Problem
• Conditions for convergence of Monte Carlo EM sequences with an application to product diffusion modeling
• Finite mixture models
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.
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