Estimating the width of a uniform distribution when data are measured with additive normal errors with known variance

DOI10.1016/j.csda.2006.09.006zbMath1162.62316OpenAlexW1987175356MaRDI QIDQ1020137

Mirta Benšić, Kristian Sabo

Publication date: 29 May 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.2006.09.006

zbMATH Keywords

maximum likelihood estimatoruniform distributionmeasurement errormethod of moments estimator

Mathematics Subject Classification ID

Point estimation (62F10)

Related Items (5)

Estimating the width of a uniform distribution under symmetric measurement errors ⋮ Uniform distribution width estimation from data observed with Laplace additive error ⋮ On estimating the boundaries of a uniform distribution under additive measurement errors ⋮ Estimating a uniform distribution when data are measured with a normal additive error with unknown variance ⋮ Border estimation of a disc observed with random errors solved in two steps

Cites Work

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• Detection of linear and circular shapes in image analysis
• A necessary and sufficient criteria for the existence of the least squares estimate for a 3-parametric exponential function.
• Adaptive quadrature -- Revisited
• Estimating the endpoint of a uniform distribution under measurement errors
• Least-squares fitting Gompertz curve
• Fundamentals of mathematical statistics: Volume 1, probability for statistics, Volume 2, statistical inference, by H. T. Nguyen and G. S. Rogers. Pp 432, 422. DM84 each. 1989. ISBN 3-540-97014-2/97020-7 (Springer)

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