Applications of asymptotic inference in segmented line regression

Volume: 50, Issue: 23, Pages: 5585 - 5606
Published: Mar 2, 2020
Abstract
This paper studies asymptotic properties of the estimators of the regression coefficients in segmented line regression, focusing on the multi-phase regression model with the continuity constraint at the unknown change-points. We first review the asymptotic distributions of the least squares estimators of the regression coefficients and discuss why the standard error estimates of the estimators derived under the assumption of known change-points...
Paper Details
Title
Applications of asymptotic inference in segmented line regression
Published Date
Mar 2, 2020
Volume
50
Issue
23
Pages
5585 - 5606
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.