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Using Imputation Techniques to Evaluate Stopping Rules in Adaptive Survey Designs
15/15 checkable references clean · checked 2026-10-14
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 15 checked references that resolve
resolves10.1007/s00357-007-0004-5
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
resolves10.1111/j.1467-985x.2006.00423.x
Responsive Design for Household Surveys: Tools for Actively Controlling Survey Errors and Costs
resolves10.1080/07350015.2014.885435
Multiple Imputation of Missing or Faulty Values Under Linear Constraints
resolves10.1111/j.1751-5823.2012.00189.x
Evaluating, Comparing, Monitoring, and Improving Representativeness of Survey Response Through R‐Indicators and Partial R‐Indicators
resolves10.1016/j.jspi.2011.07.008
Estimation of an indicator of the representativeness of survey response
resolves10.29012/jpc.v1i1.568
Global Measures of Data Utility for Microdata Masked for Disclosure Limitation
The 9 references without a DOI — listed, not checked
no DOI — not checkedref3
no DOI — not checked2013 National survey of college graduates: A practice-based investigation of adaptive design
no DOI — not checkedSurvey Errors and Survey Costs
no DOI — not checkedAdaptive design at the Census Bureau -a new way of doing business
no DOI — not checkedOptimizing quality of response through adaptive survey designs
no DOI — not checkedIndicators for the representativeness of survey response
no DOI — not checkedIndicators for monitoring and improving representativeness of response
no DOI — not checkedref20
no DOI — not checkedref22
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