An algorithm for the likelihood ratio test of one versus two components in a normal mixture model fitted to grouped and truncated data

DOI10.1080/03610919508813288zbMath0850.62214OpenAlexW2020512700MaRDI QIDQ4859892

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Publication date: 15 January 1996

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919508813288

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Parametric hypothesis testing (62F03)

Cites Work

• Unnamed Item
• Algorithm AS 254: Maximum Likelihood Estimation from Grouped and Truncated Data with Finite Normal Mixture Models
• Fitting Mixture Models to Grouped and Truncated Data via the EM Algorithm
• Inference and missing data

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