Abstract

The asymptotic distribution of the change-point estimator in a jump changepoint model is considered. For the jump change-point model Xi = a + θI{[nτ0] < i ≤ n} + ɛi, where ɛi (i = 1, ..., n) are independent identically distributed random variables with Eɛi = 0 and Var(ɛi) < ∞, with the help of the slip window method, the asymptotic distribution of the jump change-point estimator \(\hat \tau\) is studied under the condition of the local alternative hypothesis.

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