Analysis of economic growth: structural breaks, superrandomness, and nonlinear forecasting
type: Item
instance of: scholarly article
title: Analysis of economic growth: structural breaks, superrandomness, and nonlinear forecasting
zbMATH Open document ID: 1101.91342
DOI: 10.1007/BF01206040
author: Erhard Reschenhofer
published in: AStA. Allgemeines Statistisches Archiv
publication date: 2005-05-06T00:00:00Z
Mathematics Subject Classification ID: 91B62
Mathematics Subject Classification ID: 91B84
zbMATH DE Number: 2165965
MaRDI profile type: Publication
cites work: Fitting autoregressive models for prediction
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cites work: Length tests for goodness of fit
cites work: Modeling by shortest data description
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description: scientific article; zbMATH DE number 2165965