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Communications in Statistics - Simulation and Computation Volume 10, 1981 - Issue 3
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Original Articles

A comparison of least squares and least absolute deviation regression models for estimating Weibull parameters

Kenneth D. Lawrence National Bureau of Standards & Clemson University
&
Douglas R . Shier Planning and Analysis, AT&T Long Lines
Pages 315-326 | Received 01 Jun 1980, Published online: 09 Dec 2010

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Read on this site (2)

Sharon M. Homan. (1989) A Comparison of plotting rules under L1 and L2 estimation of the Weibull scale and shape parameters in situations of small samples with possible censoring and outliers. Communications in Statistics - Simulation and Computation 18:1, pages 121-143.
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Douglas R. Shier & Kenneth D. Lawrence. (1984) A comparison of robust regression techniques for the estimation of weibull parameters. Communications in Statistics - Simulation and Computation 13:6, pages 743-750.
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Articles from other publishers (4)

Stanislau Hrybouski, Ivor Cribben, John McGonigle, Fraser Olsen, Rawle Carter, Peter Seres, Christopher R. Madan & Nikolai V. Malykhin. (2021) Investigating the effects of healthy cognitive aging on brain functional connectivity using 4.7 T resting-state functional magnetic resonance imaging. Brain Structure and Function 226:4, pages 1067-1098.
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A.H.C. Tsang & A.K.S. Jardine. (1993) Estimators of 2-parameter Weibull distributions from incomplete data with residual lifetimes. IEEE Transactions on Reliability 42:2, pages 291-298.
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Kuocheng Chou & Kwei Tang. (2007) Burn‐in Time and Estimation of Change‐Point with Weibull‐Exponential Mixture Distribution*. Decision Sciences 23:4, pages 973-990.
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C. Zala & I. Barrodale. 1990. Algorithms for Approximation II. Algorithms for Approximation II 406 423 .

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