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Certain Aspects of Generalized Box-Jenkins Models / Richard W. Hill.

By: Contributor(s): Material type: TextTextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w0082.Publication details: Cambridge, Mass. National Bureau of Economic Research 1975.Description: 1 online resource: illustrations (black and white)Online resources: Available additional physical forms:
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Abstract: We define a class of models that are generalizations of regression models and moving average-autoregressive time series models. Then we investigate the asymptotic and computational properties of the maximum likelihood estimator, with numerical examples. The main conclusion is that care must be exercised when using simple approximations to the covariance matrix of the estimates.
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May 1975.

We define a class of models that are generalizations of regression models and moving average-autoregressive time series models. Then we investigate the asymptotic and computational properties of the maximum likelihood estimator, with numerical examples. The main conclusion is that care must be exercised when using simple approximations to the covariance matrix of the estimates.

Hardcopy version available to institutional subscribers

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