Linear models that allow perfect estimation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s00362-012-0455-0.pdf
Reference15 articles.
1. Christensen R (1990) Comment on Puntanen and Styan (1989). Am Stat 44: 191–192
2. Christensen R (2002) Plane answers to complex questions: the theory of linear models. Springer, New York
3. Fan J, Huang LS (2001) Goodness-of-fit tests for parametric regression models. J Am Stat Assoc 96: 640–652
4. Groß J (2004) The general Gauss–Markov model with possibly singular dispersion matrix. Stat Pap 45: 311–336
5. Harville DA (1981) Unbiased and minimum-variance unbiased estimation of estimable functions for fixed linear models with arbitrary covariance structure. Ann Stat 9: 633–637
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1. Disjoint sections of positive semidefinite matrices and their applications in linear statistical models;Special Matrices;2024-01-01
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