Evaluating Alternative Implementations of the Hamilton-Perry Model for Small Area Population Forecasts: the Case of Australia

2022 ◽  
Author(s):  
Tom Wilson ◽  
Irina Grossman
Keyword(s):  
Small Area ◽  
Population Forecasts

scholarly journals Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs

2021 ◽  
Author(s):  
Tom Wilson ◽  
Irina Grossman ◽  
Monica Alexander ◽  
Phil Rees ◽  
Jeromey Temple
Keyword(s):  
Small Area ◽  
State Of The Art ◽  
Research Needs ◽  
Population Forecasts

scholarly journals Methods for small area population forecasts: state-of-the-art and research needs

2021 ◽  
Author(s):  
Thomas Wilson ◽  
Irina Grossman ◽  
Monica Alexander ◽  
Philip Rees ◽  
Jeromey Temple
Keyword(s):  
Machine Learning ◽  
Small Area ◽  
Model Averaging ◽  
Population Forecasts ◽  
Current State ◽  
Forecasting Methods ◽  
Population Forecasting ◽  
Socio Economic Variables ◽  
User Friendly ◽  
Quantifying Uncertainty

Small area population forecasts are widely used by government and business for a variety of planning, research and policy purposes, and often influence major investment decisions. Yet the toolbox of small area population forecasting methods and techniques is modest relative to that for national and large subnational regional forecasting. In this paper we assess the current state of small area population forecasting, and suggest areas for further research. The paper provides a review of the literature on small area population forecasting methods published over the period 2001-2020. The key themes covered by the review are: extrapolative and comparative methods, simplified cohort-component methods, model averaging and combining, incorporating socio-economic variables and spatial relationships, ‘downscaling’ and disaggregation approaches, linking population with housing, estimating and projecting small area component input data, microsimulation, machine learning, and forecast uncertainty. Several avenues for further research are then suggested, including more work on model averaging and combining, developing new forecasting methods for situations which current models cannot handle, quantifying uncertainty, exploring methodologies such as machine learning and spatial statistics, creating user-friendly tools for practitioners, and understanding more about how forecasts are used.

Rocking Beam Microarea Diffraction Applied to Metallic thin Films

1976 ◽  
Vol 34 ◽  
pp. 396-397
Author(s):  
R. H. Geiss
Keyword(s):  
Thin Films ◽  
Electron Diffraction ◽  
Small Area ◽  
Objective Lens ◽  
Electron Optics ◽  
Metallic Thin Films ◽  
Transmission Electron Diffraction ◽  
Transmission Electron ◽  
Sample Height ◽  
Scanning Transmission

The theory and practical limitations of micro area scanning transmission electron diffraction (MASTED) will be presented. It has been demonstrated that MASTED patterns of metallic thin films from areas as small as 30 Åin diameter may be obtained with the standard STEM unit available for the Philips 301 TEM. The key to the successful application of MASTED to very small area diffraction is the proper use of the electron optics of the STEM unit. First the objective lens current must be adjusted such that the image of the C2 aperture is quasi-stationary under the action of the rocking beam (obtained with 40-80-160 SEM settings of the P301). Second, the sample must be elevated to coincide with the C2 aperture image and its image also be quasi-stationary. This sample height adjustment must be entirely mechanical after the objective lens current has been fixed in the first step.

Small area variations and socio-demographic correlates for the incidence of Crohn s disease and ulcerative colitis

2001 ◽  
Vol 120 (5) ◽  
pp. A458-A458
Author(s):  
J BLANCHARD ◽  
A WAJDA ◽  
P RAWSTHORNE ◽  
C BERNSTEIN
Keyword(s):  
Ulcerative Colitis ◽  
Small Area ◽  
Demographic Correlates
Sign in / Sign up

Export Citation Format

Share Document