This work is cited by the following items of the Benford Online Bibliography:
Bredl, S, Storfinger, N and Menold, N (2011). A literature review of methods to detect fabricated survey data. Discussion Paper, No. 56, Justus-Liebig- Universität Gießen, Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU), Giessen. Also appears in: Interviewers’ deviations in surveys. Ed. by N. Menold, P. Winker, and R. Porst. Schriften zur empir. | ![]() |
![]() |
![]() |
![]() |
Costa, JI (2012). Desenvolvimento de metodologias contabilométricas aplicadas a auditoria contábil digital: uma proposta de análise da lei de Newcomb-Benford para os Tribunais de Contas. Thesis, Universidade Federal de Pernambuco, Recife, Brasil. POR | ![]() |
![]() |
![]() |
![]() |
DeMatteis, JM, Young, LJ, Dahlhamer, J, Langley, RE, Murphy, J, Olson, K and Sharma, S (2020). Falsification in Surveys. Tech Report prepared for AAPOR Council and the Executive Committee of the American Statistical Association by the members of the Task Force on Data Falsification. | ![]() |
![]() |
![]() |
![]() |
Wang, Y and Pedlow, S (2005). Detecting Falsified Cases in SCF 2004 Using Benford’s Law. Proceedings of the American Statistical Association, Survey Research Methods Section, pp. 3562-3657. | ![]() |
![]() |
![]() |
![]() |