1990 Post-Enumeration Survey Evaluation Project P16 Total Error in PES Estimates for Evaluation Post Strata PDF Download
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Author: Mary H. (Liggan) Mulry
Publisher:
ISBN:
Category : Error analysis (Mathematics)
Languages : en
Pages : 44
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Book Description
The dual system estimator (DSE) used in the estimation for the Post-Enumeration Survey (PES) is known to be subject to several components of nonsampling error, in addition to sampling error. The PES evaluation program includes studies that provide direct measures of error due to nonsampling and sampling error components. These errors combine in the dual system estimator model to cause differences from population counts that would be attained under an error-free program. The difference between the estimates and the error-free counts that would be attained under an error-free program. The difference between the PES estimates and the error-free count is referred to as total error.
Author: Mary H. (Liggan) Mulry
Publisher:
ISBN:
Category : Error analysis (Mathematics)
Languages : en
Pages : 44
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Book Description
The dual system estimator (DSE) used in the estimation for the Post-Enumeration Survey (PES) is known to be subject to several components of nonsampling error, in addition to sampling error. The PES evaluation program includes studies that provide direct measures of error due to nonsampling and sampling error components. These errors combine in the dual system estimator model to cause differences from population counts that would be attained under an error-free program. The difference between the estimates and the error-free counts that would be attained under an error-free program. The difference between the PES estimates and the error-free count is referred to as total error.
Author:
Publisher:
ISBN:
Category : United States
Languages : en
Pages : 252
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Author:
Publisher:
ISBN:
Category : Census
Languages : en
Pages : 708
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 260
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Author: United States. Congress. House. Committee on Government Reform and Oversight. Subcommittee on the Census
Publisher:
ISBN:
Category : Social Science
Languages : en
Pages : 254
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Author: Dr. H.M. Wasiul Islam
Publisher: AuthorHouse
ISBN: 150499423X
Category : Mathematics
Languages : en
Pages : 209
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Book Description
In order to assess the coverage and the quality of the census data of the 1991 census, the Census Validation Survey (CVS) was carried out by the Social Survey Division of OPCS. The survey produced estimates of household spaces, households, and persons together with 95 percent confidence intervals. The CVS estimated the census undercount from six different samples, five of which were drawn from the census records and hence dependent. From the comparison between 1991 census results and demographic estimates, it was felt that CVS failed to estimate the true undercount figure of the 1991 census. Moreover, the CVS methodology was unable to estimate the undercount by age, sex, race, and geographic categories. This book presents methods for estimating population by age, sex, and race, as well as geographic categories. Three different estimators, Chandra-Sekar, Greenfield, and El-Sayed Nour, using information from two different sources (census and survey), are discussed. Adjustment factors are generally computed as the ratios of these estimates to the census counts. Average estimates from these three estimators may produce better adjustment factors. Models to produce more accurate estimates of the size of the closed population by using a second sample by matching with census and survey are also discussed. The models we present provide a mechanism for separating out the dependence between census and survey data induced by individual heterogeneity. The resulting data take the form of 2x2x2 table, in which only one of the eight cells is unknown. Using log-linear quasi-symmetry models we describe how to estimate the expected values of the observable cells of this table. To estimate the populations for local authorities (LA), a regression method is presented. The resulting estimates are found to be more accurate than the CVS estimates and were also close to the 1991 demographic estimates. We describe a methodology for estimating the accuracy of the dual systems estimates of population with the help of hypothetical data. The methodology is based on decompositions of the total error into components, such as sampling error, matching error, and other nonsampling errors. An imputation method and some recommendations are also discussed.
Author: American Statistical Association. Social Statistics Section
Publisher:
ISBN:
Category : Public health
Languages : en
Pages : 652
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Author: American Statistical Association
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 798
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Author:
Publisher:
ISBN:
Category : Social sciences
Languages : en
Pages : 706
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Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 52
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