A computationally efficient method for selecting a split questionnaire design

DOI10.1080/03610918.2019.1697819OpenAlexW2975695658WikidataQ126583716 ScholiaQ126583716MaRDI QIDQ5082993

Matthew Stuart, Cindy L. Yu

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1220&context=creativecomponents

zbMATH Keywords

survey samplingsurvey methodologysplit questionnaire design

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Efficiency of split questionnaire surveys
• On a multivariate gamma distribution
• Maximum likelihood estimation for mixed continuous and categorical data with missing values
• A Split Questionnaire Survey Design
• The Analysis of Cross-Classified Data: Independence, Quasi-Independence, and Interactions in Contingency Tables with or Without Missing Entries
• On Information and Sufficiency
• A Generalization of Sampling Without Replacement From a Finite Universe

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