Bibliography
- Adhikari, A., and B. Sarkar. 1968. Distribution of most significant digit in certain functions whose arguments are random variables. Indian Journal of Statistics, Sankhya Series B 30: 47–58.
- Alali, F., and S. Romero. 2013. Benford's Law: Analyzing a decade of financial data. Journal of Emerging Technologies in Accounting 10: 1–39.
- Alali, F., and S. Wang. 2017. Characteristics of financial restatements and frauds: An analysis of corporate reporting quality from 2000–2014. The CPA Journal 87 (11): 32–41.
- Albrecht, W., Chad Albrecht, Conan Albrecht, and M. Zimbelman. 2016. Fraud Examination. Boston, MA: Cengage Learning.
- Alvaro, F. 2017. Easy R programming for beginners. Self-published.
- American Institute of Certified Public Accountants (AICPA). 2017. Audit Guide: Audit Data Analytics and Analytical Procedures. New York, NY: AICPA.
- Amiram, D., Z. Bozanic, and E. Rouen. 2015. Financial statement errors: Evidence from the distributional properties of financial statement numbers. Review of Accounting Studies 20 (4): 1540–1593.
- Apostolou, B., N. Apostolou, and G. Thibadoux. 2015. Horseplay in Dixon: Lessons learned from the Rita Crundwell fraud. Journal of Forensic and Investigative Accounting 7: 275–289.
- Asper, S., C. McCoy, and G. Taylor. 2019. The expanding use of non-GAAP financial measures. The CPA Journal 89 (7): 28–31.
- Association of Certified Fraud Examiners (ACFE). 2018. Report to the Nations: 2018 Global Study on Occupational Fraud and Abuse. Austin, TX: ACFE. ...
Get Forensic Analytics, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.