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Discriminant Analysis for Regression Models with Stationary Long-Memory Disturbances

✍ Scribed by Guoqiang Zhang


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
746 KB
Volume
60
Category
Article
ISSN
0047-259X

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✦ Synopsis


We shall consider the problems of classifying an observation from regression model with stationary long-memory or short-memory disturbances into one of two populations described by the mean functions of the model. We use the log-likelihood ratio as a discrimant statistic which is optimal in the sense of its minimizing the misclassification probabilities. Then we confirm the theoretical results by some simple polynomial regression models.

1997 Academic Press Z i (t) ; ( j ) i += t , j=1, 2, (1.1