This work cites 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. | ||||
Bredl, S, Winker, P and Kötschau, K (2012). A statistical approach to detect interviewer falsification of survey data. Survey Methodology, Vol. 38, No. 1, pp. 1-10. | ||||
Hill, TP (1995). A Statistical Derivation of the Significant-Digit Law. Statistical Science 10(4), pp. 354-363. ISSN/ISBN:0883-4237. | ||||
Mochty, L (2002). Die Aufdeckung von Manipulationen im Rechnungswesen - Was leistet das Benford's Law?. Die Wirtschaftsprüfung 14, pp. 725-736. GER | ||||
Murphy, J, Baxter, R, Eyerman, J, Cunningham, D and Kennet, J (2004). A system for detecting interviewer falsification. RTI International at 59th Annual AAPOR Conference, Phoenix, Arizona. | ||||
Nigrini, MJ (1999). I’ve got your number. Journal of Accountancy 187(5), pp. 79-83. | ||||
Porras, J and English, N (2004). Data-Driven Approaches to Identifying Interviewer Falsification: The Case of Health Surveys. Proceedings of the American Statistical Association, Survey Research Methods Section, pp. 4223-4228. | ||||
Schäfer, C, Schräpler, J-P, Müller, KR and Wagner GG (2004). Automatic Identification of Faked and Fraudulent Interviews in Surveys by Two Different Methods. Discussion paper 441, DIW Berlin (German Institute for Economic Research). ISSN/ISBN:1619-4535. | ||||
Schräpler, J-P (2010). Benford's Law as an instrument for fraud detection in surveys using the data of the Socio-Economic Panel (SOEP). Socio-Economic Panel (SOEP) paper No. 273, March 2, 2010. DOI:10.2139/ssrn.1562574. | ||||
Schräpler, J-P and Wagner, GG (2005). Characteristics and impact of faked interviews in surveys – An analysis of genuine fakes in the raw data of SOEP. Allgemeines Statistisches Archiv 89, pp. 7-20. ISSN/ISBN:0002-6018. DOI:10.1007/s101820500188. | ||||
Scott, PD and Fasli, M (2001). Benford’s law: an empirical investigation and a novel explanation. CSM Technical Report 349, Department of Computer Science, University of Essex, UK. | ||||
Swanson, D, Cho, MJ and Eltinge, J (2003). Detecting possibly fraudulent or error-prone survey data using Benford’s law. pp 4172-4177 in: 2003 Joint Statistical Meetings - Section on Survey Research Methods, Proceedings of the American Statistical Association. | ||||
Winker, P (2016). Assuring the quality of survey data: Incentives, detection and documentation of deviant behavior. Statistical Journal of the IAOS 32 (3), pp. 295–303. DOI:10.3233/SJI-161012. |