Maximum likelihood estimation for constrained parameters of multinomial distributions -- appli\-cation to Zipf-Mandelbrot models

DOI10.1016/j.csda.2006.05.008zbMath1157.62342OpenAlexW2113116353MaRDI QIDQ1010508

Ferenc Izsák

Publication date: 6 April 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.05.008

zbMATH Keywords

maximum likelihood estimationmultinomial distributionZipf-Mandelbrot model

Mathematics Subject Classification ID

Related Items (5)

Fast computation of multinomial coefficients ⋮ A unified approach of testing for discrete and continuous Pareto laws ⋮ On the properties of input-to-output transformations in neuronal networks ⋮ Maximum likelihood stochastic gradient estimation for Hammerstein systems with colored noise based on the key term separation technique ⋮ Checking for model failure and for prior-data conflict with the constrained multinomial model

Cites Work

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• On algorithms for restricted maximum likelihood estimation
• Minimum chi-square, not maximum likelihood!

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