A note on estimating the number of superimposed exponential signals by the cross-validation approach

Y. Wu, K. W. Tarn, M. M. Zen, F. Li

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, a procedure based on the delete-1 cross-validation is given for estimating the number of superimposed exponential signals, its limiting behavior is explored and it is shown that the probability of overestimating the true number of signals is greater than a positive constant for sufficiently large samples. Also a general procedure based on the cross-validation is presented when the deletion proceeds according to a collection of subsets of indices. The result is similar to the delete-1 cross-validation if the number of deletions is fixed. The simulation results are provided for the performance of the procedure when the collections of subsets of indices are chosen as those suggested by Shao (1) in a linear model selection problem.

Original languageEnglish
Pages (from-to)1579-1589
Number of pages11
JournalCommunications in Statistics - Theory and Methods
Volume30
Issue number8-9
DOIs
Publication statusPublished - 2001
EventStatistics Reflections on the Past and Visions for the Future-International Conference in Honor of Prof. C.R. Rao on the Occasion of His 80th Birthday- - San Antonio, TX, United States
Duration: 2000 Mar 162000 Mar 19

All Science Journal Classification (ASJC) codes

  • Statistics and Probability

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