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Original Articles

The relevance of large sample properties of estimators for the errors-in-variables model:a monte carlo study

Pages 625-634 | Received 01 Feb 1982, Published online: 27 Jun 2007

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Shalabh, Chandra Mani Paudel & Narinder Kumar. (2009) Consistent estimation of regression parameters under replicated ultrastructural model with non-normal errors. Journal of Statistical Computation and Simulation 79:3, pages 251-274.
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Spiridon Penev & Tenko Raykov. (1993) On choosing estimators'in a simple linear errors-in-variables model. Communications in Statistics - Theory and Methods 22:9, pages 101-115.
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W. Krämer. (1984) Ordinary least squares estimation of the functional errors-in-variables model with trended data:some monte carlo evidence. Communications in Statistics - Simulation and Computation 13:5, pages 655-665.
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RonaldH. Ketellapper. (1983) On Estimating Parameters in a Simple Linear Errors-in-Variables Model. Technometrics 25:1, pages 43-47.
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Ronald H. Ketellapper & Joop A. Weisbeek. (1983) Further evidence on the appropriateness of a robust estimation procedure for the structural errors-in-variables model. Communications in Statistics - Theory and Methods 12:13, pages 1511-1522.
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Articles from other publishers (3)

Magne Thoresen & Petter Laake. (2007) On the simple linear regression model with correlated measurement errors. Journal of Statistical Planning and Inference 137:1, pages 68-78.
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Anil K. Srivastava & Shalabh. (1997) Improved estimation of the slope parameter in a linear ultrastructural model when measurement errors are not necessarily normal. Journal of Econometrics 78:2, pages 153-157.
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Anil K. Srivastava & Shalabh. (1997) Improved estimation of the slope parameter in a linear ultrastructural model when measurement errors are not necessarily normal. Journal of Econometrics 78:1, pages 153-157.
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