Statistical Disclosure Control for Microdata: Methods and Applications in R

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Statistical Disclosure Control For Microdata: Methods And Applications In RISBN13:9783319502700ISBN10:3319502700Author:Templ, Matthias (Author)Description:This Book On Statistical Disclosure Control Presents The Theory, Applications And Software Implementation Of The Traditional Approach To (Micro)Data Anonymization, 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 With Real-World Data, Accompanied By The Underlying R Code To Allow Readers To Reproduce All Results The Demand For And Volume Of Data From Surveys, Registers Or Other Sources Containing Sensible Information On Persons Or Enterprises Have Increased Significantly Over The Last Several Years At The Same Time, Privacy Protection Principles And Regulations Have Imposed Restrictions On The Access And Use Of Individual Data Proper And Secure Microdata Dissemination Calls For The Application Of Statistical Disclosure Control Methods To The Data Before Release This Book Is Intended For Practitioners At Statistical Agencies And Other National And International Organizations That Deal With Confidential Data It Will Also Be Interesting For Researchers Working In Statistical Disclosure Control And The Health Sciences Binding:Hardcover, HardcoverPublisher:SPRINGER NATUREPublication Date:2017-05-12Weight:1.34 lbsDimensions:0.75'' H x 9.21'' L x 6.14'' WNumber of Pages:287Language:English

Price: 87.09 USD

Location: USA

End Time: 2024-12-05T02:22:02.000Z

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