Valliant, Richard; Dever, Jill A.; Kreuter, Frauke Practical tools for designing and weighting survey samples. 2nd edition. (English) Zbl 1411.62016 Statistics for Social and Behavioral Sciences. Cham: Springer (ISBN 978-3-319-93631-4/hbk; 978-3-319-93632-1/ebook). xxvi, 776 p. (2018). From the publisher’s description: Since the publication of the first edition in 2013, there have been important developments in making inferences from nonprobability samples, in address-based sampling (ABS), and in the application of machine learning techniques for survey estimation. New to this revised and expanded edition: ● Details on new functions in the PracTools package ● Additional machine learning methods to form weighting classes ● New coverage of nonlinear optimization algorithms for sample allocation ● Reflecting effects of multiple weighting steps (nonresponse and calibration) on standard errors ● A new chapter on nonprobability sampling ● Additional examples, exercises, and updated references throughout See the review of the first edition in [Zbl 1282.62027]. MSC: 62-02 Research exposition (monographs, survey articles) pertaining to statistics 62D05 Sampling theory, sample surveys 62-04 Software, source code, etc. for problems pertaining to statistics 62P25 Applications of statistics to social sciences 62P35 Applications of statistics to physics Keywords:design; sample size; weighting; software Citations:Zbl 1282.62027 Software:svr; doBy; sampling; R; foreign; WesVar; SUDAAN; S-PLUS; samplingbook; Excel; graphics; stats; lme4; SAS; PracTools; alabama; quadprog; rpart; survival PDF BibTeX XML Cite \textit{R. Valliant} et al., Practical tools for designing and weighting survey samples. 2nd edition. Cham: Springer (2018; Zbl 1411.62016) Full Text: DOI OpenURL