A note on asymptotic inference in a class of non-stationary processes
type: Item
instance of: scholarly article
title: A note on asymptotic inference in a class of non-stationary processes
zbMATH Open document ID: 0522.62069
DOI: 10.1016/0304-4149(83)90055-8
author: Anders Rygh Swensen
published in: Stochastic Processes and their Applications
publication date: 1983-01-01T00:00:00Z
Mathematics Subject Classification ID: 62M07
Mathematics Subject Classification ID: 62F05
Mathematics Subject Classification ID: 62C99
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 3827029
zbMATH Keywords: non-stationary processes
zbMATH Keywords: asymptotic decision theory
zbMATH Keywords: supercritical Galton-Watson branching processes
zbMATH Keywords: locally asymptotically mixed normal
zbMATH Keywords: criterion for efficiency of tests based upon existence of uniformly most powerful tests
MaRDI profile type: Publication
full work available at URL: 0304-4149(83)90055-8
OpenAlex ID: W1982793583
cites work: Asymptotic tests of composite hypotheses for non-ergodic type stochastic processes
cites work: Asymptotic inference for stochastic processes
cites work: Q3894827
cites work: Efficient tests for branching processes
cites work: Q4197239
cites work: The efficiency criteria problem for stochastic processes
cites work: A characterization of limiting distributions of regular estimates
cites work: Q4766399
cites work: On an optimal asymptotic property of the maximum likelihood estimator of a parameter from a stochastic process
cites work: Q3962325
cites work: Q3692624
cites work: Q5540987
cites work: On the Assumptions Used to Prove Asymptotic Normality of Maximum Likelihood Estimates
cites work: Q5179663
cites work: Q3262608
cites work: On efficient tests for branching processes
cites work: Uniform asymptotic normality of the maximum likelihood estimator
description: scientific article; zbMATH DE number 3827029