1995
DOI: 10.1080/10485259508832639
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Change-point problem and bootstrap

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Cited by 60 publications
(42 citation statements)
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“…In testing hypothesis H 0 : T =0 versus H 1 : T = 0, where T = 2 2 − 2 1 , the advantage of using factor (k=T (1 − k=T )) 1=2− with 0 6 6 1=2 is that V k is sensitive with respect to the contiguous alternative T ∼ T −1=2 (see Corollary 2.2 below, or Cs orgő and Horvà ath, 1997; Antoch and Hu skovà a, 1995). We can use both statistics, V k andk( ), to deal with tests and estimates of change points.…”
Section: Derivation Of Estimatorsmentioning
confidence: 97%
“…In testing hypothesis H 0 : T =0 versus H 1 : T = 0, where T = 2 2 − 2 1 , the advantage of using factor (k=T (1 − k=T )) 1=2− with 0 6 6 1=2 is that V k is sensitive with respect to the contiguous alternative T ∼ T −1=2 (see Corollary 2.2 below, or Cs orgő and Horvà ath, 1997; Antoch and Hu skovà a, 1995). We can use both statistics, V k andk( ), to deal with tests and estimates of change points.…”
Section: Derivation Of Estimatorsmentioning
confidence: 97%
“…To gain further insight on the timing of these late rejections and see their statistical reliability we have also computed 95% confidence intervals using the bootstrap method described in Antoch et al (1995). The results suggest that from these 38 potential cases there are 4 cases in which the confidence interval indicates that the rejection is right before the announcement.…”
Section: Empirical Application To Ftse 350 Companies Return Seriesmentioning
confidence: 96%
“…Theorems 1 and 2 of Antoch et al (1995) detail the consistency and the limiting distribution of the above estimator using the weight function q(t/T,m). The critical values of the CTSB test are obtained from the supremum of the weighted Brownian bridge process introduced above.…”
Section: Econometric Analysismentioning
confidence: 99%
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