Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Laura Zayatz"'
Publikováno v:
Sankhya B. 73:297-315
In this paper we address two inferential aspects of noise multiplied magnitude microdata. First, in the context of disclosure risk assessment of tabular magnitude data, we study the consequences of noise multiplication when an intruder tries to specu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f00afc53905499834c0928606d0247e
https://doi.org/10.1007/s13571-011-0030-z
https://doi.org/10.1007/s13571-011-0030-z
Publikováno v:
Encyclopedia of Statistical Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::592037334ccc6c74c60d7163a9fdc497
https://doi.org/10.1002/0471667196.ess1020.pub3
https://doi.org/10.1002/0471667196.ess1020.pub3
Publikováno v:
Privacy in Statistical Databases ISBN: 9783642336263
Privacy in Statistical Databases
Privacy in Statistical Databases
Data from the American Community Survey (ACS) are collected under the authority of Title 13 of the United States Code which guarantees the confidentiality of all survey respondents. To maintain this confidentiality while still being able to release u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09a628e8f2e6018165cb02b988b08b1a
https://doi.org/10.1007/978-3-642-33627-0_12
https://doi.org/10.1007/978-3-642-33627-0_12
Autor:
Jason Lucero, Laura Zayatz
Publikováno v:
Privacy in Statistical Databases ISBN: 9783642158377
Privacy in Statistical Databases
Privacy in Statistical Databases
The U.S. Census Bureau collects its survey and census data under Title 13 of the U.S. code, which promises to protect the confidentiality of our respondents. The agency has the responsibility to release high quality data products without violating th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17a6932ba4c51cd43ba7758d5caaa2f1
https://doi.org/10.1007/978-3-642-15838-4_21
https://doi.org/10.1007/978-3-642-15838-4_21
Autor:
Laura Zayatz
Publikováno v:
Journal of empirical research on human research ethics : JERHRE. 4(3)
Several organizations in the United States have a major interest in creating, testing, and using methods of data presentation that respect privacy and assure confidentiality. The following are among those that do so, and provide up-to-date informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f671ad45827601ff09ac7671f3ff34eb
https://pubmed.ncbi.nlm.nih.gov/19754232
https://pubmed.ncbi.nlm.nih.gov/19754232
Autor:
Alvan O. Zarate, Laura Zayatz
Publikováno v:
Journal of empirical research on human research ethics : JERHRE. 1(3)
Many researchers need to make arrangements to share de-identified electronic data files. However, the ways in which respondent identity may be protected are not well understood or are assumed to be the special province of large statistical agencies o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e7f83641ddebb156608e8dc514e3861
https://pubmed.ncbi.nlm.nih.gov/19385823
https://pubmed.ncbi.nlm.nih.gov/19385823
Using the internal March CPS, we create and in this paper distribute to the larger research community a cell mean series that provides the mean of all income values above the topcode for any income source of any individual in the public use March CPS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ff7c1bf99effa570a1af30f03b26990
https://doi.org/10.3386/w13941
https://doi.org/10.3386/w13941
Beyond the traditional methods of tabulations and public-use microdata samples, statistical agencies have developed four key alternatives for providing non-government researchers with access to confidential microdata to improve statistical modeling.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::5e05e6c57b9fbc76b42947b7133e4cbd
https://www2.census.gov/ces/wp/2007/CES-WP-07-25.pdf
https://www2.census.gov/ces/wp/2007/CES-WP-07-25.pdf
Publikováno v:
SSRN Electronic Journal.
Beyond the traditional methods of tabulations and public-use microdata samples, statistical agencies have developed four key alternatives for providing non-government researchers with access to confidential microdata to improve statistical modeling.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81afeb39cf74c09fa6925f52fb7cf839
https://doi.org/10.2139/ssrn.1015374
https://doi.org/10.2139/ssrn.1015374