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Communications in Statistics - Simulation and Computation Volume 41, 2012 - Issue 10
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Original Articles

An ECM Estimation Approach for Analyzing Multivariate Skew-Normal Data with Dropout

T. Baghfalaki Department of Statistics, Shahid Beheshti University, Tehran, Iran
&
M. Ganjali Department of Statistics, Shahid Beheshti University, Tehran, IranCorrespondence[email protected]
Pages 1970-1988 | Received 22 Aug 2010, Accepted 22 Sep 2011, Published online: 13 Jun 2012

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Read on this site (2)

Luliang Wen, Yanjun Qiu, Minghui Wang, Juliang Yin & Pingyan Chen. (2022) Numerical characteristics and parameter estimation of finite mixed generalized normal distribution. Communications in Statistics - Simulation and Computation 51:7, pages 3596-3620.
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M. Teimourian, T. Baghfalaki, M. Ganjali & D. Berridge. (2015) Joint modeling of mixed skewed continuous and ordinal longitudinal responses: a Bayesian approach. Journal of Applied Statistics 42:10, pages 2233-2256.
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Articles from other publishers (2)

M. Ganjali & T. Baghfalaki. (2014) A Bayesian Shared Parameter Model for Analysing Longitudinal Skewed Responses with Nonignorable Dropout. International Journal of Statistics in Medical Research 3:2, pages 103-115.
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M. Ganjali, T. Baghfalaki & M. Khazaei. (2013) A linear mixed model for analyzing longitudinal skew-normal responses with random dropout. Journal of the Korean Statistical Society 42:2, pages 149-160.
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