Estimating a uniform distribution when data are measured with a normal additive error with unknown variance

DOI10.1080/02331880903076645zbMath1291.62055OpenAlexW1973038778MaRDI QIDQ5400844

Kristian Sabo, Mirta Benšić

Publication date: 12 March 2014

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880903076645

zbMATH Keywords

uniform distributionmaximum-likelihood estimatormeasurement errormoment-method estimator

Mathematics Subject Classification ID

Point estimation (62F10) Parametric inference under constraints (62F30)

Related Items (4)

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 ⋮ Optimization of material with modal damping

Cites Work

• Detection of linear and circular shapes in image analysis
• Estimating the width of a uniform distribution when data are measured with additive normal errors with known variance
• On the existence and uniqueness of the maximum likelihood estimate of a vector-valued parameter in fixed-size samples
• On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds
• Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
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