Arbitrary
发表于 2025-3-23 13:08:39
Book 2017anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies wit
防锈
发表于 2025-3-23 14:42:52
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除草剂
发表于 2025-3-23 19:52:01
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grenade
发表于 2025-3-24 00:46:03
Synthetic Data,tion—is described in detail. It is also the reason why whole populations are simulated rather than only surveys. For other approaches, we refer to Drechsler (.) (Drechsler, Synthetic data sets for statistical disclosure control. Springer, New York, 2011) and other references below.
鄙视读作
发表于 2025-3-24 06:18:04
978-3-319-84362-9Springer International Publishing AG 2017
certain
发表于 2025-3-24 09:55:35
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dowagers-hump
发表于 2025-3-24 12:01:50
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gusher
发表于 2025-3-24 15:01:50
https://doi.org/10.1007/978-3-319-50272-462D99, 62D05, 62-07, 62J05, 62P25; statistical disclosure control; microdata; disclosure risk; informati
triptans
发表于 2025-3-24 22:02:07
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节约
发表于 2025-3-25 01:23:01
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