An empirical non-parametric likelihood family of data-based Benford-like distributions
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DOI: 10.1016/j.physa.2007.02.062
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References listed on IDEAS
- Pietronero, L. & Tosatti, E. & Tosatti, V. & Vespignani, A., 2001. "Explaining the uneven distribution of numbers in nature: the laws of Benford and Zipf," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 293(1), pages 297-304.
- Hill, Theodore P. & Schürger, Klaus, 2005. "Regularity of digits and significant digits of random variables," Stochastic Processes and their Applications, Elsevier, vol. 115(10), pages 1723-1743, October.
- Scott Marchi & James Hamilton, 2006. "Assessing the Accuracy of Self-Reported Data: an Evaluation of the Toxics Release Inventory," Journal of Risk and Uncertainty, Springer, vol. 32(1), pages 57-76, January.
Citations
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Cited by:
- Villas-Boas, Sofia B. & Fu, Qiuzi & Judge, George, 2017.
"Benford’s law and the FSD distribution of economic behavioral micro data,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 711-719.
- Judge, George G. & Villas-Boas, Sofia B., 2017. "Benford's Law and the FSD Distribution of Economic Behavioral Micro Data," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4bb8k9zw, Department of Agricultural & Resource Economics, UC Berkeley.
- Lee, Joanne & Cho, Wendy K. Tam & Judge, George G., 2010.
"Stigler's approach to recovering the distribution of first significant digits in natural data sets,"
Statistics & Probability Letters, Elsevier, vol. 80(2), pages 82-88, January.
- Lee, Joanne & Cho, Wendy K. Tam & Judge, George G, 2009. "Stigler's approach to recovering the distribution of first significant digits in natural data sets," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9745m98d, Department of Agricultural & Resource Economics, UC Berkeley.
- Lee, Joanne & Cho, Wendy K. & Judge, George G., 2009. "Stigler's approach to recovering the distribution of first significant digits in natural data sets," CUDARE Working Papers 47000, University of California, Berkeley, Department of Agricultural and Resource Economics.
- Paul Hofmarcher & Kurt Hornik, 2013. "First Significant Digits and the Credit Derivative Market During the Financial Crisis," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
- George Judge & Laura Schechter, 2009. "Detecting Problems in Survey Data Using Benford’s Law," Journal of Human Resources, University of Wisconsin Press, vol. 44(1).
- Sofia B. Villas-Boas & Qiuzi Fu & George Judge, 2015.
"Is Benford’s Law a Universal Behavioral Theory?,"
Econometrics, MDPI, vol. 3(4), pages 1-11, October.
- Villas-Boas, Sofia & Fu, Qiuzi & Judge, George, 2015. "Is Benford's Law a Universal Behavioral Theory?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6x45h2fw, Department of Agricultural & Resource Economics, UC Berkeley.
- John Morrow, 2014.
"Benford's Law, Families of Distributions and a Test Basis,"
CEP Discussion Papers
dp1291, Centre for Economic Performance, LSE.
- Morrow, John, 2014. "Benford's Law, families of distributions and a test basis," LSE Research Online Documents on Economics 60364, London School of Economics and Political Science, LSE Library.
- Lee, Joanne & Judge, George G, 2008.
"Identifying falsified clinical data,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt8x00h1c1, Department of Agricultural & Resource Economics, UC Berkeley.
- Lee, Joanne & Judge, George G., 2008. "Identifying falsified clinical data," CUDARE Working Papers 47001, University of California, Berkeley, Department of Agricultural and Resource Economics.
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Keywords
Benford's law; First significant digit phenomenon; Relative frequencies; Information-theoretic method; Empirical likelihood; Minimum-divergence distance measure;All these keywords.
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