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A Nonparametric Bootstrap Test and Estimation for Change
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 Title & Authors
A Nonparametric Bootstrap Test and Estimation for Change
Kim, Jae-Hee;
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 Abstract
This paper deals with the problem of testing the existence of change in mean and estimating the change-point using nonparametric bootstrap technique. A test statistic using Gombay and Horvath (1990)'s functional form is applied to derive a test statistic and nonparametric change-point estimator with bootstrapping idea. Achieved significance level of the test is calculated for the proposed test to show the evidence against the null hypothesis. MSE and percentiles of the bootstrap change-point estimators are given to show the distribution of the proposed estimator in simulation.
 Keywords
Achieved significance level;change-point;nonparametric bootstrap test;Ornstein- Uhlenbeck process;
 Language
English
 Cited by
 References
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