Literature DB >> 12290948

Predictability, complexity, and catastrophe in a collapsible model of population, development, and environmental interactions.

W C Sanderson.   

Abstract

"More and more population forecasts are being produced with associated 95 percent confidence intervals. How confident are we of those confidence intervals? In this paper, we produce a simulated dataset in which we know both past and future population sizes, and the true 95 percent confidence intervals at various future dates. We use the past data to produce population forecasts and estimated 95 percent confidence intervals using various functional forms. We, then, compare the true 95 percent confidence intervals with the estimated ones. This comparison shows that we are not at all confident of the estimated 95 percent confidence intervals." (SUMMARY IN FRE) excerpt

Keywords:  Error Sources; Estimation Technics; Evaluation; Evaluation Methodology; Measurement; Population Forecast; Population Growth Estimation; Population Projection; Reliability; Research Methodology; World

Mesh:

Year:  1995        PMID: 12290948     DOI: 10.1080/08898489509525405

Source DB:  PubMed          Journal:  Math Popul Stud        ISSN: 0889-8480            Impact factor:   0.720


  2 in total

1.  Can knowledge improve population forecasts at subcounty levels?

Authors:  Guangqing Chi
Journal:  Demography       Date:  2009-05

2.  Empirical Prediction Intervals for County Population Forecasts.

Authors:  Stefan Rayer; Stanley K Smith; Jeff Tayman
Journal:  Popul Res Policy Rev       Date:  2009-02-10
  2 in total

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