On weak convergence of the likelihood ratio process in multi-phase regression models
type: Item
instance of: scholarly article
title: On weak convergence of the likelihood ratio process in multi-phase regression models
zbMATH Open document ID: 1283.62040
author: Takayuki Fujii
published in: Statistics \& Probability Letters
publication date: 2009-09-30T00:00:00Z
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 5609578
MaRDI profile type: Publication
full work available at URL: j.spl.2008.01.081
OpenAlex ID: W2039133253
cites work: Convergence Criteria for Multiparameter Stochastic Processes and Some Applications
cites work: Q4494125
cites work: The minimum of an additive process with applications to signal estimation and storage theory
cites work: Maximum likelihood estimator in a two-phase nonlinear random regression model
cites work: A note on the asymptotic distribution of the maximum likelihood estimator in a non-regular case
cites work: Tightness and weak convergence for jump processes
cites work: Q3920437
cites work: The function space D([O, ∞)ρ, E)
cites work: Asymptotics of maximum likelihood estimator in a two-phase linear regression model
cites work: Asymptotics of M-estimators in two-phase linear regression models.
cites work: Approximating the distribution of the maximum likelihood estimate of the change-point in a sequence of independent random variables
DOI: 10.1016/J.SPL.2008.01.081
description: scientific article; zbMATH DE number 5609578