David A. Harville: Linear models and the relevant distributions and matrix algebra
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/article/10.1007/s00362-019-01096-w/fulltext.html
Reference5 articles.
1. Harville DA (1997) Matrix algebra from a statistician’s perspective. Springer, New York
2. Harville DA (2014) The need for more emphasis on prediction: a ‘nondenominational’ model-based approach. Am Stat 68:71–92
3. Rao CR (1965) Linear statistical inference and its applications. Wiley, New York
4. Searle SR (1971) Linear models. Wiley, New York
5. Zellner A (1962) An efficient method of estimating seemingly unrelated regression equations and tests for aggregation bias. J Am Stat Assoc 57:348–368
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