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Communications in Statistics - Theory and Methods Volume 34, 2005 - Issue 2
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Regression and Linear Models

Estimation of Linear Regression Models with Missing Data: The Role of Stochastic Linear Constraints

Shalabh Department of Mathematics, Indian Institute of Technology, Kanpur, India
&
H. Toutenburg Department für Statistics, Universität München, München, Germany
Pages 375-387 | Received 25 May 2003, Accepted 21 Jul 2004, Published online: 26 Dec 2007

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Yuqin Sun, Bo Jiang & Hong Jiang. (2019) Computations of predictors/estimators under a linear random-effects model with parameter restrictions. Communications in Statistics - Theory and Methods 48:14, pages 3482-3497.
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Xingwei Ren. (2016) The equalities of estimations under a general partitioned linear model and its stochastically restricted model. Communications in Statistics - Theory and Methods 45:22, pages 6495-6509.
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Hu Yang & Jibo Wu. (2011) Estimation in Singular Linear Models with Stochastic Linear Restrictions and Linear Equality Restrictions. Communications in Statistics - Theory and Methods 40:24, pages 4364-4371.
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Jianwen Xu & Hu Yang. (2007) Estimation in Singular Linear Models with Stochastic Linear Restrictions. Communications in Statistics - Theory and Methods 36:10, pages 1945-1951.
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Articles from other publishers (2)

Sukhbir Singh, Kanchan Jain & Suresh Sharma. (2012) Using stochastic prior information in consistent estimation of regression coefficients in replicated measurement error model. Journal of Multivariate Analysis 111, pages 198-212.
Crossref
Shalabh & Christian HeumannThomas Augustin, Angela Döring & David Rummel. 2008. Recent Advances in Linear Models and Related Areas. Recent Advances in Linear Models and Related Areas 253 278 .

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