JOURNAL OF THE JAPAN STATISTICAL SOCIETY
Online ISSN : 1348-6365
Print ISSN : 1882-2754
ISSN-L : 1348-6365
APPROXIMATION FOR DENSITY OF ESTIMATORS IN GAUSSIAN AR (1) PROCESS
Yoshihide Kakizawa
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1996 Volume 26 Issue 2 Pages 161-172

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Abstract
This paper deals with the density for a class of estimators _??_c1 c2 (c1, c2≥0) in Gaussian AR (1) process. Here _??_c1 c2 includes various estimators if the constants c1 and c2 are specified appropriately. Applying the saddlepoint method to the general formula by Geary [5], the density of _??_c1 c2 is approximated. Although Phillips [14] pointed out that the saddlepoint density is undefined in a substantial part of the tails, we elucidate that the resulting approximation is always defined if c1 and c2 are appropriately chosen. Some numerical comparisons are made among the Edgeworth approximation, the saddlepoint approximation, and the exact distribution for _??_1/2, 1/2. We also approximate the density for the mean corrected estmator _??_c1 c2.
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