Predictability, complexity, and catastrophe in a collapsible model of population, development, and environmental interactions
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Publication:4353452
DOI10.1080/08898489509525405zbMath0873.92035OpenAlexW2089686268WikidataQ40979106 ScholiaQ40979106MaRDI QIDQ4353452
Publication date: 11 September 1997
Published in: Mathematical Population Studies (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/08898489509525405
demographymodel complexitypopulation forecasts95 percent confidence intervalsdemographic economic and environmental interactionspopulation prediction intervalssimulated dataset
Cites Work
- Likelihood of a model and information criteria
- Regression and time series model selection in small samples
- Information Criteria for Discriminating Among Alternative Regression Models
- Population forecasting: Do simple models outperform complex models?
- Simplicity and complexity in extrapolatwe population forecasting models
- Joint Forecasts of U.S. Marital Fertility, Nuptiality, Births, and Marriages Using Time Series Models
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