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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

Citations:

Zbl 1282.62027
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