دورية أكاديمية

Change-Points in Nonparametric Regression Analysis

التفاصيل البيبلوغرافية
العنوان: Change-Points in Nonparametric Regression Analysis
المؤلفون: Muller, Hans-Georg
بيانات النشر: The Institute of Mathematical Statistics
سنة النشر: 1992
المجموعة: Project Euclid (Cornell University Library)
مصطلحات موضوعية: Boundary kernel, change of slope, curve fitting, discontinuity, end-point, functional limit theorem, jump size, kernel estimation, $L^p$ convergence, Nile data, smoothing, weak convergence, 62G05, 62G20
الوصف: Estimators for location and size of a discontinuity or change-point in an otherwise smooth regression model are proposed. The assumptions needed are much weaker than those made in parametric models. The proposed estimators apply as well to the detection of discontinuities in derivatives and therefore to the detection of change-points of slope and of higher order curvature. The proposed estimators are based on a comparison of left and right one-sided kernel smoothers. Weak convergence of a stochastic process in local differences to a Gaussian process is established for properly scaled versions of estimators of the location of a change-point. The continuous mapping theorem can then be invoked to obtain asymptotic distributions and corresponding rates of convergence for change-point estimators. These rates are typically faster than $n^{-1/2}$. Rates of global $L^p$ convergence of curve estimates with appropriate kernel modifications adapting to estimated change-points are derived as a consequence. It is shown that these rates of convergence are the same as if the location of the change-point was known. The methods are illustrated by means of the well known data on the annual flow volume of the Nile river between 1871 and 1970.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
تدمد: 0090-5364
العلاقة: http://projecteuclid.org/euclid.aos/1176348654Test; Ann. Statist. 20, no. 2 (1992), 737-761
DOI: 10.1214/aos/1176348654
الإتاحة: https://doi.org/10.1214/aos/1176348654Test
http://projecteuclid.org/euclid.aos/1176348654Test
حقوق: Copyright 1992 Institute of Mathematical Statistics
رقم الانضمام: edsbas.4D61E293
قاعدة البيانات: BASE
الوصف
تدمد:00905364
DOI:10.1214/aos/1176348654