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Produktbild: Elements of Statistical Disclosure Control
Band 155

Elements of Statistical Disclosure Control

Aus der Reihe Lecture Notes in Statistics

97,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.10.2000

Abbildungen

XV, 261 p.

Verlag

Springer Us

Seitenzahl

261

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Auflage

Softcover reprint of the original 1st edition 2001

Sprache

Englisch

ISBN

978-0-387-95121-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.10.2000

Abbildungen

XV, 261 p.

Verlag

Springer Us

Seitenzahl

261

Maße (L/B/H)

23,5/15,5/1,6 cm

Gewicht

435 g

Auflage

Softcover reprint of the original 1st edition 2001

Sprache

Englisch

ISBN

978-0-387-95121-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Elements of Statistical Disclosure Control
  • 1 Overview of the Area.- 1.1 Introduction.- 1.2 Types of Variables.- 1.3 Types of Microdata.- 1.4 Types of Tabular Data.- 1.5 Introduction to SDC for Microdata and Tables.- 1.6 Intruders and Disclosure Scenarios.- 1.7 Information Loss.- 1.8 Disclosure Protection Techniques for Microdata.- 1.9 Disclosure Protection Techniques for Tables.- 2 Disclosure Risks for Microdata.- 2.1 Introduction.- 2.2 Microdata.- 2.3 Disclosure Scenario.- 2.4 Predictive Disclosure.- 2.5 Re-identification Risk.- 2.6 Risk Per Record and Overall Risk.- 2.7 Population Uniqueness and Unsafe Combinations.- 2.8 Modeling Risks with Discrete Key Variables.- 2.9 Disclosure Scenarios in Practice.- 2.10 Combinations to Check.- 3 Data Analytic Impact of SDC Techniques on Microdata.- 3.1 Introduction.- 3.2 The Variance Impact of SDC Procedures.- 3.3 The Bias Impact of SDC Procedures.- 3.4 Impact of SDC Procedures on Methods of Estimation.- 3.5 Information Loss Measures Based on Entropy.- 3.6 Alternative Information Loss Measures.- 3.7 MSP for Microdata.- 4 Application of Non-Perturbative SDC Techniques for Microdata.- 4.1 Introduction.- 4.2 Local Suppression.- 4.3 Global Recoding.- 5 Application of Perturbative SDC Techniques for Microdata.- 5.1 Introduction.- 5.2 Overview.- 5.3 Adding Noise.- 5.4 Rounding.- 5.5 Derivation of PRAM Matrices.- 5.6 Data Swapping.- 5.7 Adjustment Weights.- 6 Disclosure Risk for Tabular Data.- 6.1 Introduction.- 6.2 Disclosur e Risk for Tables of Magnitude Tables.- 6.3 Disclosure Risk for Frequency Count Tables.- 6.4 Linked Tables.- 6.5 Protection Intervals for Sensitive Cells.- 6.6 Sensitivity Rules for General Tables.- 7.2 Information Loss Based on Cell Weights.- 7.3 MSP for Tables.- 7.4 Entropy Considerations.- 8 Application of Non-Perturbative Techniques for Tabular Data.- 8.1 Introduction.- 8.2 Table Redesign.- 8.3 Cell Suppression.- 8.4 Some Additional Cell Suppression Terminology.- 8.5 Hypercube Method.- 8.6 Secondary Suppression as an LP-Problem.- 8.7 Secondary Suppression as a MIP.- 8.8 Cell Suppression in Linked Tables.- 8.9 Cell Suppression in General Two-Dimensional Tables.- 8.10 Cell Suppression in General Three-Dimensional Tables.- 8.11 Comments on Cell Suppression.- 9 Application of Perturbative Techniques for Tabular Data.- 9.1 Introduction.- 9.2 Adding Noise.- 9.3 Unrestricted Rounding.- 9.4 Controlled Rounding.- 9.5 Controlled Rounding by Means of Simulated Annealing.- 9.6 Controlled Rounding as a MIP.- 9.7 Linked Tables.- References.