3 edition of Report on statistical disclosure and disclosure-avoidance techniques found in the catalog.
Report on statistical disclosure and disclosure-avoidance techniques
United States. Federal Committee on Statistical Methodology. Subcommittee on Disclosure-Avoidance Techniques.
by U.S. Dept. of Commerce, Office of Federal Statistical Policy and Standards : for sale by the Supt. of Docs., U.S. Govt. Print. Off. in Washington
Written in English
Bibliography: p. 67-69.
|Statement||prepared by Subcommittee on Disclosure-Avoidance Techniques, Federal Committee on Statistical Methodology.|
|Series||Statistical policy working paper ;, 2|
|LC Classifications||JC599.U5 U557 1978|
|The Physical Object|
|Pagination||x, 69 p. ;|
|Number of Pages||69|
|LC Control Number||78602485|
"Disclosure Avoidance Techniques at the U.S. Census Bureau: Current Practices and Research." Research Report Series (Disclosure Avoidance) no. Washington: Center for Disclosure Avoidance Research, U.S. Census Bureau. Prioritize resources for improving disclosure avoidance techniques and protocols, including emerging privacy- preserving technologies 5. Suggest an auditing process that works for the statistical system while also addressing core accountability needs Recommendations @ Contact.
As many of you are aware, a large body of effective and well developed statistical disclosure avoidance policies, techniques and practices has been developed, and virtually all federal agencies use them in their data release policies. We will discuss those techniques here today, and they are described in OMB Statistical Policy Working Paper all stages of the study, including within the final report, by using appropriate disclosure avoidance techniques. 4. Require the organization to destroy all PII from education records when the information is no longer needed for the purposes for which the study was conducted, and specify the time period in which the information must be destroyed.
In , the committee issued its first report, “Statistical Policy Working Paper 2: Report on Statistical Disclosure and Disclosure Avoidance Techniques” (Subcommittee on Disclosure-Avoidance Techniques ). Working Paper 2 set forth a framework for defining statistical disclosure and summarized the techniques available for limiting Cited by: The Institute for Integrating Statistics in Decision Sciences Technical Report TR Aug Reflections on Data Perturbation and Post-Randomization for Statistical Disclosure Control Tapan K. Nayak Department of Statistics The George Washington University, USA.
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The Report on Statistical Disclosure Limitation Methodology, Statistical Policy Working Pa discusses both tables and microdata and describes current practices of the principal Federal statistical agencies.
The original report includes a tutorial, guidelines, and recommendations forFile Size: KB. Get this from a library. Report on statistical disclosure and disclosure-avoidance techniques.
[United States. Federal Committee on Statistical Methodology. Subcommittee on Disclosure-Avoidance Techniques.]. Abstract Report on Statistical Disclosure and Disclosure-Avoidance Techniques (Statistical Policy Working Paper 2).: Subcommittee on Disclosure-Avoidance Techniques.
Washington, D.C.: U.S. Dept. of Commerce, Office of Federal Statistical Policy and Standards, x + 69 Report on statistical disclosure and disclosure-avoidance techniques book.
Free. Reviewed by Ivan P. Fellegi Decision Theory and Social Ethics: Issues in Social Choice. Statistical Working Papers are a series of technical documents prepared under the auspices of the Office of Federal Statistical Policy and Standards. These documents are the product of working groups or task forces, as noted in the Preface to each report; These Statistical Working Papers are published for the purpose ofFile Size: KB.
Report on statistical disclosure and disclosure-avoidance techniques / By United States. Federal Committee on Statistical Methodology. Subcommittee on Disclosure-Avoidance Techniques. Abstract. Bibliography: p. Mode of access: Internet Topics.
conference presentations, book chapters and journal publications) must be reviewed for “disclosure avoidance” – the practice of protecting respondents’ privacy and confidentiality (see Figure 1).
Procedures for disclosure avoidance have long been in place for quantitative research, and are continuing to evolve (Abowd, a; Abowd, b). The Bureau has traditionally used statistical disclosure limitation (SDL) techniques such as top- and bottom-coding, suppression, rounding, binning, noise-infusion, and sampling to reserve the confidentiality of respondent data.
An accidental disclosure can occur when data released in public aggregate reports are unintentionally presented in a manner that allows individual students to be identified.
“Disclosure avoidance” refers to the efforts made to reduce the risk of disclosure, such as applying statistical methods to protect PII in aggregate data tables. Disclosure Avoidance Techniques Used in Petroleum Marketing Data Michael J. Griffey* Jacob Bournazian With the creation of new survey forms and publications containing four-dimensional data, the Petroleum Marketing Division within the Energy Information Administration was faced with a difficult task to insure confidentiality of respondent by: 1.
techniques are developed However there is need to Bureau of the Census pp have it in semiformal stage so that it can be more widely disseminated Therefore the Checklist will be Federal Committee on Statistical Methodology May reviewed by ICDAGs parent committeeFCSM-dur- Report on Statistical Disclosure and.
A survey of the SDL methodologies that are being used by statistical agencies is Felsö, Theeuwes and Wagner . Most of the seminal works describe the SDL problem as a bi-criteria problem where one objective is to minimize the loss of information and the other objective is to minimize the risk of by: Ideally, microdata could be released in such a way that a balance between usefulness of the data and privacy is struck.
This paper presents a review of proposed methods of statistical disclosure control and techniques for assessing the privacy of such methods under different definitions of disclosure. Disclosure-Avoidance Techniques SUBCOMMITTEE ON DISCLOSURE-AVOIDANCE TECHNIQUES (). Statistical Policy Working Paper No.
Report on Statistical Disclosure. Statistical disclosure control (SDC), also known as statistical disclosure limitation (SDL) or disclosure avoidance, is a technique used in data-driven research to ensure no person or organization is identifiable from the results of an analysis of survey or.
In the past, such methods have been called disclosure-avoidance techniques; currently they are called statistical disclosure limitation methods or statistical disclosure control methods.
The name change reflects a realization that a zero-risk of disclosure is an impossibly high standard and that the collection of ANY data entails some sort of risk, no matter how small. Federal Committee on Statistical Methodology: Report on Statistical Disclosure and Disclosure-Avoidance Techniques.
Statistical Policy Working Paper 2. Subcommittee on Disclosure-Avoidance Techniques. U.S. Department of Commerce, Washington, DC () Google ScholarCited by: on Statistical Uses of Administrative Records The volume is divided into four major sections.
The book begins with five papers on statistical applications. Section 2 presents two papers on confidentiality and data access issues. to disclosure avoidance techniques. FCSM Working Paper Report on Statistical Disclosure Limitation Methodology.
Simson L. Garfinkel. Modernizing Disclosure Avoidance: Report on the Disclosure Avoidance System as Billy Wisniewski, and Laura McKenna.
Disclosure Avoidance Techniques at the U.S. Census Bureau: Current Practices and Research. Annual Report of the Statistical Research Division Fiscal Year Methodology and Standards Directorate Decennial visualization techniques. S improved, through cognitive testing, the wording of questions on the National Crime Victimization Disclosure Avoidance Methods Project - Time Serie s Research.
Sincethe Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency, updating the document every 4 years to provide a current edition to newly appointed cabinet secretaries at the beginning of each presidential administration.
Among these themes are the tradeoffs and tensions between the needs of researchers and other data users on the one hand and confidentiality requirements on the other; the relative advantages and costs of data perturbation techniques (applied to facilitate public release) versus restricted access as tools for improving security; and the need to quantify disclosure risks--both absolute and relative--created by .The Census Bureau applies disclosure avoidance techniques to its publicly released statistical products in order to protect the confidentiality of its respondents and their data.
Advanced search Economic literature: papers, articles, software, chapters, : Laura McKenna. Other statistical agencies use the terms “disclosure limitation” and “disclosure control.” These terms are all synonymous. Disclosure avoidance methods have evolved since the censuses of the early s, when the only protection used was simply removing names.