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Change point estimation in regression models with fixed design. (English) Zbl 1407.62104

Rykov, Vladimir V. (ed.) et al., Mathematical and statistical models and methods in reliability. Applications to medicine, finance, and quality control. Invited papers based on the presentation at the 6th international conference (MMR 2009), Moscow, Russia, June 22–26, 2009. Boston, MA: Birkhäuser. Stat. Ind. Technol., 207-221 (2010).
Summary: In this paper, we consider a simple regression model with change points in the regression function which can be one of two types: A so called smooth bent-line change point or a discontinuity point of a regression function. In both cases we investigate the consistency of the M-estimates of the change points. It turns out that the rates of convergence are \(n^{1/2}\) or \(n\), respectively, where \(n\) denotes the sample size in a fixed design. In addition, the asymptotic distributions of the change point estimators are investigated.
For the entire collection see [Zbl 1203.60007].

MSC:

62G05 Nonparametric estimation
62G08 Nonparametric regression and quantile regression
62G20 Asymptotic properties of nonparametric inference

Software:

timereg
Full Text: DOI

References:

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