Some sources of error and their effect on census statistics | Zendy

Barbara A. Bailar | Zendy

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Some sources of error and their effect on census statistics

Author(s) -

Barbara A. Bailar

Publication year - 1976

Publication title -

demography

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.099

H-Index - 129

eISSN - 1533-7790

pISSN - 0070-3370

DOI - 10.2307/2060806

Subject(s) - statistics , census , sampling (signal processing) , variance (accounting) , sampling error , reliability (semiconductor) , sampling design , inference , econometrics , non sampling error , mean squared error , observational error , stratified sampling , mathematics , computer science , population , demography , sociology , economics , power (physics) , physics , accounting , filter (signal processing) , quantum mechanics , artificial intelligence , computer vision

Often the reliability of survey data is examined only in relationship to sampling variances, excluding many other potential sources of error. If the sampling variance dominates the mean-square error, then few mistakes result by considering sampling variance only; however, if sampling variance is only a small part of the mean-square error, serious mistakes in inference could be made. The Bureau of the Census has developed a model describing the joint effect of sampling and nonsampling errors on census statistics. This article shows how a study of the components of error may lead to methods of improving the accuracy and reliability of survey data.

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