Author:
Publisher:
ISBN:
Category : Architecture and energy conservation
Languages : en
Pages : 460
Book Description
Residential Energy Consumption Survey
Author:
Publisher:
ISBN:
Category : Architecture and energy conservation
Languages : en
Pages : 460
Book Description
Publisher:
ISBN:
Category : Architecture and energy conservation
Languages : en
Pages : 460
Book Description
Residential Energy Consumption Survey: National data (including conservation)
Constructing strata of primary sampling units for the Residential Energy Consumption Survey
Author: Rachel M. Harter
Publisher: RTI Press
ISBN:
Category : House & Home
Languages : en
Pages : 15
Book Description
The 2015 Residential Energy Consumption Survey design called for stratification of primary sampling units to improve estimation. Two methods of defining strata from multiple stratification variables were proposed, leading to this investigation. All stratification methods use stratification variables available for the entire frame. We reviewed textbook guidance on the general principles and desirable properties of stratification variables and the assumptions on which the two methods were based. Using principal components combined with cluster analysis on the stratification variables to define strata focuses on relationships among stratification variables. Decision trees, regressions, and correlation approaches focus more on relationships between the stratification variables and prior outcome data, which may be available for just a sample of units. Using both principal components/cluster analysis and decision trees, we stratified primary sampling units for the 2009 Residential Energy Consumption Survey and compared the resulting strata.
Publisher: RTI Press
ISBN:
Category : House & Home
Languages : en
Pages : 15
Book Description
The 2015 Residential Energy Consumption Survey design called for stratification of primary sampling units to improve estimation. Two methods of defining strata from multiple stratification variables were proposed, leading to this investigation. All stratification methods use stratification variables available for the entire frame. We reviewed textbook guidance on the general principles and desirable properties of stratification variables and the assumptions on which the two methods were based. Using principal components combined with cluster analysis on the stratification variables to define strata focuses on relationships among stratification variables. Decision trees, regressions, and correlation approaches focus more on relationships between the stratification variables and prior outcome data, which may be available for just a sample of units. Using both principal components/cluster analysis and decision trees, we stratified primary sampling units for the 2009 Residential Energy Consumption Survey and compared the resulting strata.
Commercial Buildings Energy Consumption Survey
Author:
Publisher:
ISBN:
Category : Commercial buildings
Languages : en
Pages : 484
Book Description
Publisher:
ISBN:
Category : Commercial buildings
Languages : en
Pages : 484
Book Description
Nonresidential Buildings Energy Consumption Survey
Author:
Publisher:
ISBN:
Category : Commercial buildings
Languages : en
Pages : 484
Book Description
Publisher:
ISBN:
Category : Commercial buildings
Languages : en
Pages : 484
Book Description
A Look at Residential Energy Consumption in ...
A Look at Residential Energy Consumption in 1997
Directory of energy data collection forms
Author: United States. Energy Information Administration. Office of the National Energy Information System
Publisher:
ISBN:
Category :
Languages : en
Pages : 52
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 52
Book Description
Directory of Energy Data Collection Forms
Author: United States. Energy Information Administration. Office of Statistical Standards
Publisher:
ISBN:
Category : Energy industries
Languages : en
Pages : 72
Book Description
Publisher:
ISBN:
Category : Energy industries
Languages : en
Pages : 72
Book Description
EIA Publications Directory
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 426
Book Description
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 426
Book Description