References
American Institute of Certified Public Accountants (AICPA). (2016a).
Appendix A: Attributes statistical sampling tables. In
Audit guide: Audit sampling. https://doi.org/10.1002/9781119448617.app1
American Institute of Certified Public Accountants (AICPA). (2016b).
Appendix C: Monetary unit sampling tables. In Audit
guide: Audit sampling. https://doi.org/10.1002/9781119448617.app3
Bickel, P. J. (1992). Inference and auditing: The Stringer
bound. International Statistical Review/Revue Internationale de
Statistique, 197–209. https://doi.org/10.2307/1403650
Broeze, G. B. (2006). Validation of risk assessment in auditing
[PhD thesis, Vrije Universiteit]. https://research.vu.nl/ws/portalfiles/portal/42174612/complete+dissertation.pdf
Chang, W. (2022). R Graphics Cookbook. O’Reilly.
https://r-graphics.org/
Clopper, C. J., & Pearson, E. S. (1934). The use of confidence or
fiducial limits illustrated in the case of the binomial.
Biometrika, 26(4), 404–413. https://doi.org/10.2307/2331986
Derks, K., de Swart, J., van Batenburg, P., Wagenmakers, E., &
Wetzels, R. (2021). Priors in a Bayesian audit: How
integration of existing information into the prior distribution can
improve audit transparency and efficiency. International Journal of
Auditing, 25(3), 621–636. https://doi.org/10.1111/ijau.12240
Derks, K., de Swart, J., Wagenmakers, E., & Wetzels, R. (2022a). An
impartial Bayesian hypothesis test for audit sampling.
PsyArXiv. https://doi.org/10.31234/osf.io/8nf3e
Derks, K., de Swart, J., Wagenmakers, E., & Wetzels, R. (2022b). The
Bayesian approach to audit evidence: Quantifying
statistical evidence using the Bayes factor.
PsyArXiv. https://doi.org/10.31234/osf.io/kzqp5
Derks, K., de Swart, J., Wagenmakers, E., Wille, J., & Wetzels, R.
(2021). JASP for Audit: Bayesian
tools for the auditing practice. Journal of Open Source
Software, 6(68), 2733.
Dyer, D., & Pierce, R. L. (1993). On the choice of the prior
distribution in hypergeometric sampling. Communications in
Statistics - Theory and Methods, 22(8), 2125–2146. https://doi.org/10.1080/03610929308831139
Edwards, W., Lindman, H., & Savage, L. J. (1963).
Bayesian statistical inference for psychological research.
Psychological Review, 70(3), 193. https://doi.org/10.1037/h0044139
Grolemund, G. (2014). Hands-On Programming with
R. https://rstudio-education.github.io/hopr/
Hastie, T., Tibshirani, R., & Friedman, J. H. (2009). The
elements of statistical learning: Data mining, inference, and
prediction (Vol. 2). Springer.
Hoekstra, R., Morey, R. D., Rouder, J. N., & Wagenmakers, E. (2014).
Robust misinterpretation of confidence intervals. Psychonomic
Bulletin & Review, 21, 1157–1164.
International Auditing and Assurance Standards Board (IAASB). (2018).
ISA 530: Audit sampling. In International standards on
auditing (ISA).
JASP Team. (2023). JASP (Version
0.18.1)[Computer software]. https://jasp-stats.org/
Jeffreys, H. (1939). Theory of probability. Clarendon Press.
Jeffreys, H. (1948). Theory of probability. Clarendon Press.
Jeffreys, H. (1961). Theory of probability. Clarendon Press.
Kauermann, G., & Kuechenhoff, H. (2010). Stichproben: Methoden
und praktische umsetzung mit r. Springer-Verlag.
Lin, J. (2021). Audit Analytics with
R. https://auditanalytics.jonlin.ca/
Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen,
J., Ly, A., Gronau, Q. F., Šmı́ra, M., Epskamp, S., Matze, D., Wild, A.,
Knight, P., Rouder, J. N., Morey, R. D., & Wagenmakers, E. (2019).
JASP: Graphical statistical software for common statistical designs.
Journal of Statistical Software, 88, 1–17.
Manitz, J., Hempelmann, M., Kauermann, G., Kuechenhoff, H., Shao, S.,
Oberhauser, C., Westerheide, N., & Wiesenfarth, M. (2021).
Samplingbook: Survey sampling procedures. https://CRAN.R-project.org/package=samplingbook
Meeden, G. (2021). Audit: Bounds for accounting populations. https://CRAN.R-project.org/package=audit
Meeden, G., & Sargent, D. (2007). Some Bayesian methods
for two auditing problems. Communications in Statistics —- Theory
and Methods, 36(15), 2727–2740. https://doi.org/10.1080/03610920701386802
Pearson, K. (1948). Tables of the incomplete beta-function.
Biometrika.
Prömpers, H., & Guimarães, A. (2019). MUS: Monetary
unit sampling and estimation methods, widely used in auditing. https://CRAN.R-project.org/package=MUS
R Core Team. (2022). R: A language and environment for statistical
computing. R Foundation for Statistical Computing. https://www.R-project.org/
Rouder, J. N. (2014). Optional stopping: No problem for
Bayesians. Psychonomic Bulletin & Review,
21, 301–308. https://doi.org/10.3758/s13423-014-0595-4
Steele, A. (1992). Audit risk and audit evidence: The
Bayesian approach to statistical auditing. London
Academic Press.
Stewart, T. (2012). Technical notes on the AICPA audit
guide audit sampling. 5–8.
Stringer, K. W. (1963). Practical aspects of statistical sampling in
auditing. Proceedings of the Business and Economic Statistics
Section, 405–411.
Wickam, H., & Brian, J. (2022). R Packages. https://r-pkgs.org/
Wickam, H., & Grolemund, G. (2017). R for
Data Science. https://r4ds.had.co.nz/
Wilke, C. O. (2022). Fundamentals of Data
Visualization. https://clauswilke.com/dataviz/