89 methodology , sorted by release date
Methodology for the coverage adjustment of Census 2021 in England and Wales.
Keywords: strategy, population, households, persons, missing
Matching Census 2021 to the Census Coverage Survey (CCS) using deterministic, probabilistic, associative, machine learning and clerical methods.
Keywords: linkage, quality targets, recall
How we maximised the quality of Census 2021 population estimates during the processing and quality assurance of the final statistics.
Keywords: estimation, adjustment, qa, response rate, coverage
Methodology for the alternative household estimate and how we used it to validate final dual system estimation (DSE) estimates.
Keywords: population, householdestimate, occupancy, probability
The methods the Office for National Statistics (ONS) will use to assess the benefits of Census 2021 data for users, including central and local government, private and voluntary sectors.
Keywords: community sector, voluntary sector, local government, central government
The model selection process and chosen models for coverage estimation of Census 2021 in England and Wales.
Keywords: undercoverage, overcoverage, method, bias adjustment
Methodology for coverage estimation of Census 2021 in England and Wales.
Keywords: adjustment, error, population
The methods for resolving item non-response and item inconsistencies in Census 2021 data, including deterministic editing, nearest neighbour donor imputation, and manual imputation.
Keywords: population, missing, rates, count, response
Methodology for the validation of the Census 2021 population estimates for each local authority, as part of the wider quality assurance of the census data.
Keywords: Populations, councils, demographics
Methodology for the validation of Census 2021 population estimates for England and Wales, including the assurance of processes, assessment of estimates, and involvement of local authorities.
Keywords: quality assure, assurance, process, census 2021