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Communications in Statistics - Simulation and Computation Volume 35, 2006 - Issue 3
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Linear Models

Evaluation of Linear Mixed Model Case Deletion Diagnostic Tools by Monte Carlo Simulation

Temesgen Zewotir School of Statistics and Actuarial Science, University of KwaZulu Natal, Scottsville, South AfricaCorrespondence[email protected]
&
Jacky S. Galpin School of Statistics and Actuarial Science, University of the Witwatersrand, Wits, South Africa
Pages 645-682 | Received 13 Jul 2005, Accepted 16 Dec 2005, Published online: 15 Feb 2007

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Tsirizani M. Kaombe & Samuel O. M. Manda. (2023) A novel outlier statistic in multivariate survival models and its application to identify unusual under-five mortality sub-districts in Malawi. Journal of Applied Statistics 50:8, pages 1836-1852.
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Tsirizani M. Kaombe & Samuel O. M. Manda. (2023) Detecting influential data in multivariate survival models. Communications in Statistics - Theory and Methods 52:11, pages 3910-3926.
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T. Zewotir. (2008) Multiple Cases Deletion Diagnostics for Linear Mixed Models. Communications in Statistics - Theory and Methods 37:7, pages 1071-1084.
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Articles from other publishers (2)

Tsirizani M. Kaombe & Samuel O. M. Manda. 2022. Modern Biostatistical Methods for Evidence-Based Global Health Research. Modern Biostatistical Methods for Evidence-Based Global Health Research 377 410 .
Dawit G. Ayele & Temesgen T. Zewotir. (2016) Comparison of under-five mortality for 2000, 2005 and 2011 surveys in Ethiopia. BMC Public Health 16:1.
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