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Wroński, K (2012). Zastosowanie Rozkładu Benforda do Analizy Plików Dźwiękowych [Benford Distribution Application to the Analysis of Sound File] . Bachelor Thesis, Krakow Academy, Faculty of Economics and Management. POL

This work cites the following items of the Benford Online Bibliography:


Albrecht, WS and Albrecht, CC (2002). Root out financial deception. Journal of Accountancy 193(4), pp. 30-34. ISSN/ISBN:0021-8448. View Complete Reference Online information Works that this work references Works that reference this work
Bhattacharya, P, Chatterjee, A and Chakrabarti, BK (2005). A common mode of origin of the power law distributions in models of market and earthquake. Physica A Statistical Mechanics and its Applications 381, pp. 377-382. DOI:10.1016/j.physa.2007.02.096. View Complete Reference Online information Works that this work references Works that reference this work
Bhattacharya, S, Kumar, K and Smarandache, F (2005). Conditional probability of actually detecting a financial fraud – a neutrosophic extension to Benford’s law. International Journal of Applied Mathematics 17(1), pp. 7-14. View Complete Reference Online information Works that this work references Works that reference this work
Bourke, N and van Peursem, K (2004). Detecting fraudulent financial reporting: teaching the 'watchdog' new tricks. Working paper 79, University of Waikato. ISSN/ISBN:1173-7182. View Complete Reference Online information Works that this work references Works that reference this work
Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 1524-5586/Vol. V, pp. 17-34. View Complete Reference Online information Works that this work references Works that reference this work
Harrington, JE (2005). Detecting Cartels. Economics Working Paper 526, Johns Hopkins University; also in 2006 Handbook in antitrust economics. View Complete Reference Online information Works that this work references Works that reference this work
Hill, TP (1995). A Statistical Derivation of the Significant-Digit Law. Statistical Science 10(4), pp. 354-363. ISSN/ISBN:0883-4237. View Complete Reference Online information Works that this work references Works that reference this work
Li, Z, Cong, L and Wang, H (2004). Discussion on Benford’s law and its application. posted on arXiv:math/0408057, Aug 4, 2004. View Complete Reference Online information Works that this work references Works that reference this work
Lindsay, DH, Foote, PS, Campbell, A and Reilly, DP (2004). Detecting fraud in the data using automatic intervention detection. Fraud Magazine. A Publication of the Association of Certified Fraud Examiners, January/February 2004. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Newcomb, S (1881). Note on the frequency of use of the different digits in natural numbers. American Journal of Mathematics 4(1), pp. 39-40. ISSN/ISBN:0002-9327. DOI:10.2307/2369148. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
Petucci, SD (2005). Benford’s Law: Can It Be Used to Detect Irregularities in First Party Automobile Insurance Claims?. Journal of Economic Crime Management 3(1), pp. 1-35. View Complete Reference Online information Works that this work references Works that reference this work
Posch, PN and Kreiner, WA (2005). A general approach to digital analysis exemplified by stock market indices. Online unpublished manuscript; link broken; copy available upon request. View Complete Reference Online information Works that this work references Works that reference this work
Roukema, BF (2009). Benford's Law Anomalies in the 2009 Iranian presidential election. preprint arXiv:0906.2789. View Complete Reference Online information Works that this work references Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Smith, CA (2002). Detecting Anomalies in Your Data Using Benford’s Law. Paper 249 (Statistics and Data Analysis) in: Proceedings of SUGI 27, Orlando, USA, April 14-17. View Complete Reference Online information Works that this work references Works that reference this work
Smith, SW (1997). Explaining Benford's Law. Chapter 34 in: The Scientist and Engineer's Guide to Digital Signal Processing. California Technical Publishing: San Diego, CA. Republished in softcover by Newnes, 2002. ISSN/ISBN:0-9660176-3-3. View Complete Reference Online information No Bibliography works referenced by this work. Works that reference this work
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. View Complete Reference Online information Works that this work references Works that reference this work
Taylor, RN, McEntegart, DJ and Stillman, EC (2002). Statistical techniques to detect fraud and other data irregularities in clinical questionnaire data. Drug Information Journal 36, 115-125. DOI:10.1177/009286150203600115. View Complete Reference Online information Works that this work references Works that reference this work