Effective prediction of intercensal population levels

Hdl Handle:
http://hdl.handle.net/10034/120987
Title:
Effective prediction of intercensal population levels
Authors:
Norton, Stewart J.
Abstract:
This dissertation is concerned with the prediction of population levels for the years following a census until the next census is counted. It reviews standard interpolation and extrapolation tecnhiques, population models and neural networks. The population levels are required by government for allocating money to local authorities for spending on local services. This project was initiated by Chester City Council who consider that an underestimation of the Chester levels is causing a shortfall in the city's allocation of money.
Advisors:
Ford, Neville J.
Publisher:
University of Liverpool (Chester College of Higher Education)
Publication Date:
Oct-1999
URI:
http://hdl.handle.net/10034/120987
Type:
Thesis or dissertation
Language:
en
Appears in Collections:
Masters Dissertations

Full metadata record

DC FieldValue Language
dc.contributor.advisorFord, Neville J.en
dc.contributor.authorNorton, Stewart J.en
dc.date.accessioned2011-02-02T17:38:58Zen
dc.date.available2011-02-02T17:38:58Zen
dc.date.issued1999-10en
dc.identifier.urihttp://hdl.handle.net/10034/120987en
dc.description.abstractThis dissertation is concerned with the prediction of population levels for the years following a census until the next census is counted. It reviews standard interpolation and extrapolation tecnhiques, population models and neural networks. The population levels are required by government for allocating money to local authorities for spending on local services. This project was initiated by Chester City Council who consider that an underestimation of the Chester levels is causing a shortfall in the city's allocation of money.en
dc.language.isoenen
dc.publisherUniversity of Liverpool (Chester College of Higher Education)en
dc.subjectpopulation levelsen
dc.titleEffective prediction of intercensal population levelsen
dc.typeThesis or dissertationen
dc.type.qualificationnameMScen
dc.type.qualificationlevelMasters Degreeen
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