Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 542

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Author:
Publisher:
ISBN:
Category : Dwellings
Languages : en
Pages : 168

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Author: Rachel M. Harter
Publisher: RTI Press
ISBN:
Category : House & Home
Languages : en
Pages : 15

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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.

Author:
Publisher:
ISBN:
Category : Dwellings
Languages : en
Pages : 328

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Author:
Publisher:
ISBN:
Category : Dwellings
Languages : en
Pages : 344

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Author: United States. Energy Information Administration. Office of the National Energy Information System
Publisher:
ISBN:
Category :
Languages : en
Pages : 52

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Author: United States. Energy Information Administration. Office of Statistical Standards
Publisher:
ISBN:
Category : Energy industries
Languages : en
Pages : 72

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Author: National Research Council
Publisher: National Academies Press
ISBN: 0309254019
Category : Science
Languages : en
Pages : 150

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Book Description
The United States is responsible for nearly one-fifth of the world's energy consumption. Population growth, and the associated growth in housing, commercial floor space, transportation, goods, and services is expected to cause a 0.7 percent annual increase in energy demand for the foreseeable future. The energy used by the commercial and residential sectors represents approximately 40 percent of the nation's total energy consumption, and the share of these two sectors is expected to increase in the future. The Commercial Buildings Energy Consumption Survey (CBECS) and Residential Energy Consumption Survey (RECS) are two major surveys conducted by the Energy Information Administration. The surveys are the most relevant sources of data available to researchers and policy makers on energy consumption in the commercial and residential sectors. Many of the design decisions and operational procedures for the CBECS and RECS were developed in the 1970s and 1980s, and resource limitations during much of the time since then have prevented EIA from making significant changes to the data collections. Effective Tracking of Building Energy Use makes recommendations for redesigning the surveys based on a review of evolving data user needs and an assessment of new developments in relevant survey methods.

Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 426

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Author:
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 188

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