Estimators of covariances in time series models
The theory of Minimum Norm Quadratic Estimators for estimating variances and covariances is applied to show that some commonly used estimators of covariances in time series models are easily derived using the above principle. In applying the theory MINQE, it is observed that no unbiased estimator exists in the class of invariant quadratics.
Year of publication: |
1985
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Authors: | Chaubey, Yogendra P. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 3.1985, 1, p. 51-53
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Publisher: |
Elsevier |
Keywords: | jackknife estimator minimum norm quadratic estimator autocovariance estimation |
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