Estimating the parameters in regression with uniformly distributed errors

DOI10.1080/00949658608810965zbMath0635.62065OpenAlexW2008352513MaRDI QIDQ3774754

Gideon Schechtman, Edna Schechtman

Publication date: 1986

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949658608810965

zbMATH Keywords

maximum likelihood estimatorsunbiased estimatorsleast squares estimatorsslopeinterceptvariancesuniformly distributed errors

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Point estimation (62F10)

Related Items (1)

Non-asymptotic bounds for the \(\ell_{\infty}\) estimator in linear regression with uniform noise

Cites Work

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• On L1 and Chebyshev estimation
• Least absolute value and chebychev estimation utilizing least squares results
• An algorithm for discrete chebychev curve fitting for the simple model using a dual linear programming approach
• A dual method for discrete Chebychev curve fitting
• Using the least squares estimator in Chebyshev estimation
• Two Linear Programming Algorithms for Unbiased Estimation of Linear Models

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