A Maximum Likelihood Method for Piecewise Regression Models with a Continuous Dependent Variable

DOI10.2307/2346380zbMath0471.62063OpenAlexW2528357704MaRDI QIDQ3925012

Isreal Zang, Asher Tishler

Publication date: 1981

Published in: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2346380

zbMATH Keywords

piecewise models

Mathematics Subject Classification ID

General nonlinear regression (62J02) Probabilistic methods, stochastic differential equations (65C99)

Related Items (6)

Asymptotically optimal selection of a piecewise polynomial estimator of a regression function ⋮ Optimal global rates of convergence of \(M\)-estimates for multivariate nonparametric regression ⋮ Asymptotics of the “minimumL 1-norm” estimates in nonparametric regression models ⋮ Change-point problems: bibliography and review ⋮ A Note on the Convergent Rates of M-Estimates for a Partly Linear Model ⋮ A Bayesian analysis of some threshold switching models

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