Weak consistency of least-squares estimators in linear models

Author:

Kaffes D,Bhaskara Rao M

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference11 articles.

1. Contributions to the theory of generalized inverses;Ben-Israel;J. Soc. Industr. Appl. Math.,1963

2. Weak and strong consistency of the Least Squares estimators in Regression models;Drygas;Z. Wahrsh. Verw. Gebiete,1976

3. Some more results on rates of convergence in the law of large numbers for weighted sums of independent random variables;Hanson;Trans. Amer. Math. Soc.,1969

4. Generalized inverses of partitioned matrices and recalculation of least squares estimates for data or model changes;Mitra;Sankhya,1971

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4. On complete convergence for weighted sums of asymptotically linear negatively dependent random field;Statistics & Probability Letters;2013-12

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