Statements (91)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:law
|
| gptkbp:analyzes |
histograms
|
| gptkbp:applies_to |
many sets of numerical data
|
| gptkbp:can_be_used_to |
detect anomalies
|
| gptkbp:can_detect |
anomalies in data
|
| gptkbp:concept |
gptkb:computer_science
gptkb:Mathematics economics statistics data governance data validation information theory statistical modeling data mining data science forensic accounting quantitative analysis numerical analysis theoretical mathematics applied mathematics data ethics data quality assessment data verification data auditing fraud detection methodologies |
| gptkbp:describes |
distribution of leading digits
|
| gptkbp:first_appearance |
the 19th century
manipulated data |
| gptkbp:has_achieved |
the frequency of leading digits
|
| gptkbp:has_implications_for |
data integrity
financial regulations audit practices |
| https://www.w3.org/2000/01/rdf-schema#label |
Newcomb– Benford law
|
| gptkbp:is_a_phenomenon_that |
large datasets
|
| gptkbp:is_a_subject_of |
gptkb:academic_research
gptkb:machine_learning quantitative research data mining numerical analysis statistical research big data analysis |
| gptkbp:is_a_tool_for |
data analysis
statistical analysis |
| gptkbp:is_applicable_to |
natural phenomena
social sciences election data financial data randomly generated numbers scientific data population data demographic data engineering data uniform distributions data with fixed ranges |
| gptkbp:is_applied_in |
gptkb:scientific_research
economic data financial data scientific data demographic data social science data |
| gptkbp:is_based_on |
logarithmic scale
the logarithmic scale the principle of scale invariance |
| gptkbp:is_discussed_in |
mathematical literature
academic literature statistical literature data science literature |
| gptkbp:is_often_tested_using |
chi-squared tests
goodness-of-fit tests Kolmogorov-Smirnov tests |
| gptkbp:is_often_used_in |
forensic accounting
|
| gptkbp:is_often_visualized_by |
histograms
|
| gptkbp:is_related_to |
gptkb:Pareto_principle
logarithmic distribution scale invariance Zipf's law |
| gptkbp:is_relevant_to |
data science
|
| gptkbp:is_sometimes_violated_by |
manipulated data
artificial data data from small samples data with constraints data with rounding errors |
| gptkbp:is_used_in |
data analysis
fraud detection |
| gptkbp:known_as |
Benford's law
|
| gptkbp:named_after |
gptkb:Simon_Newcomb
gptkb:Frank_Benford |
| gptkbp:popularized_by |
gptkb:Frank_Benford
1938 |
| gptkbp:proposed_by |
1881
|
| gptkbp:was_first_formulated_by |
gptkb:Simon_Newcomb
|