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Calculating the Distribution of the Serial Correlation Estimator by Saddlepoint Integration

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  • Helstrom, Carl W.

Abstract

The efficient method of numerical saddlepoint integration is described and applied to calculating the probability distribution of the maximum likelihood and Yule-Walker estimators of the correlation coefficient a of a first-order autoregressive normal time series with initial value either zero or nonzero when a finite number n of data are at hand. Stationary time series of the same type are also treated. Significance points are computed in a number of examples to show how, as n increases, the finite-sample distributions approach the asymptotic distributions that have appeared in the literature.

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  • Helstrom, Carl W., 1996. "Calculating the Distribution of the Serial Correlation Estimator by Saddlepoint Integration," Econometric Theory, Cambridge University Press, vol. 12(3), pages 458-480, August.
  • Handle: RePEc:cup:etheor:v:12:y:1996:i:03:p:458-480_00
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    Cited by:

    1. Marc Paolella & Ronald W. Butler, 1999. "Calculating the Density and Distribution Function of a Singly and Doubly Noncentral F Random Variable," Computing in Economics and Finance 1999 532, Society for Computational Economics.

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