Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Chris J. Skinner"'
Autor:
Marco Gaboardi, Chris J. Skinner
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 7, Iss 2 (2017)
This special issue presents papers based on contributions to the first international workshop on the “Theory and Practice of Differential Privacy” (TPDP) held in London, UK, 18 April 2015, as part of the European joint conference on Theory And Pr
Externí odkaz:
https://doaj.org/article/3b698c0b80ce48e28bb81e62cfb0f230
Autor:
Natalie Shlomo, Chris J. Skinner
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 4, Iss 1 (2012)
Statistical agencies release microdata from social surveys as public-use files after applying statistical disclosure limitation (SDL) techniques. Disclosure risk is typically assessed in terms of identification risk, where it is supposed that small c
Externí odkaz:
https://doaj.org/article/ed060cac1f2c447399ad634385c219f0
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 1, Iss 1 (2009)
When the founders of this Journal -- Cynthia Dwork, Stephen Fienberg and Alan Karr -- made its initial call for papers, they and we identified many constituencies that participate in the scientific analysis of privacy and confidentiality. Statisticia
Externí odkaz:
https://doaj.org/article/ac018268680a42569b425f8495a21036
Publikováno v:
Biometrika. 108:239-246
Summary Paradata refers to survey variables which are not of direct interest themselves, but are related to the quality of data on survey variables which are of interest. We focus on a categorical paradata variable, which reflects the presence of mea
Autor:
Graham Allan, Chris J. Skinner
Foreword Howard Newby -- Preface -- Notes on Contributors -- Chapter 1 Introduction /Graham Allan and Chris Skinner -- Part 1: The Nature of a Research Degree -- Chapter 2 Undertaking a Research Degree /Haydn Mathias and Tony Gale Chapter 3 Personal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71ed5d4e8a8c0aaaa9b89f8dad07c4d1
https://doi.org/10.4324/9781003070993
https://doi.org/10.4324/9781003070993
Autor:
Chris J. Skinner, Fiona Steele
Publikováno v:
Ann. Appl. Stat. 14, no. 2 (2020), 706-726
We consider the use of sample survey data to estimate dyadic characteristics of family networks, with an application to noncoresident parent–child dyads. We suppose that survey respondents report either from a parent or child perspective about a dy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4c39a8d3719ad13ebcd0f0231c2d693
http://eprints.lse.ac.uk/102338/
http://eprints.lse.ac.uk/102338/
Autor:
Chris J. Skinner
Publikováno v:
International Statistical Review. 87:S64-S78
This paper reviews methods for handling complex sampling schemes when analysing categorical survey data. It is generally assumed that the complex sampling scheme does not affect the specification of the parameters of interest, only the methodology fo
Autor:
Chris J. Skinner
Publikováno v:
Annual Review of Statistics and Its Application. 5:49-63
In recent decades, census taking around the world has faced major challenges, including cost pressures, concerns about intrusiveness, privacy and response burden, reduced cooperation, difficulties in accessing secure apartments and enumerating unsafe
Summary A within-cluster resampling method is proposed for fitting a multilevel model in the presence of informative cluster size. Our method is based on the idea of removing the information in the cluster sizes by drawing bootstrap samples which con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbf60888fa849312d8a4f67de4a009f5
http://eprints.lse.ac.uk/101006/
http://eprints.lse.ac.uk/101006/
Autor:
Chris J. Skinner
Publikováno v:
Wiley StatsRef: Statistics Reference