The package BeyondBenford compares the goodness of fit of Benford's and Blondeau Da Silva's (BDS's) digit distributions in a dataset. The package is used to check whether the data distribution is consistent with theoretical distributions highlighted by Blondeau Da Silva or not: this ideal theoretical distribution must be at least approximately followed by the data for the use of BDS's model to be well-founded. It also allows to draw histograms of digit distributions, both observed in the dataset and given by the two theoretical approaches. Finally, it proposes to quantify the goodness of fit via Pearson's chi-squared test
The Birnbaum-Saunders (BS) model is a positively skewed statistical distribution that has received g...
Benford's Law is a statistical regularity of a large number of datasets; assessing the compliance of...
This paper presents new perspectives and methodological instruments for verifying the validity of Be...
The package \textbf{BeyondBenford} compares the goodness of fit of Benford’s and Blondeau Da Silva’s...
Often a real-world data set comprises only positive values in a unimodal distribution. The asymmetry...
In this paper, we will see that the proportion of d as p th digit, where p > 1 and d ∈ 0, 9, in data...
The package fitdistrplus provides functions for fitting univariate distributions to different types ...
To help with identifying distributions to effectively model univariate continuous data, the R functi...
Benford’s law has been used by auditors to help reveal data manipulation not only in the context of ...
Benford's law is often used as a support to critical decisions related to data quality or the presen...
Benford's Law is used to test for data irregularities. While novel, there are two weaknesses in the ...
The 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23-27 August 2021Man...
In this paper, we will see that the proportion of d as leading digit, d ∈ 1, 9, in data (obtained th...
Robust statistical data modelling under potential model mis-specification often requires leaving the...
Benford's Law is used to test for data irregularities. While novel, there are two weaknesses in...
The Birnbaum-Saunders (BS) model is a positively skewed statistical distribution that has received g...
Benford's Law is a statistical regularity of a large number of datasets; assessing the compliance of...
This paper presents new perspectives and methodological instruments for verifying the validity of Be...
The package \textbf{BeyondBenford} compares the goodness of fit of Benford’s and Blondeau Da Silva’s...
Often a real-world data set comprises only positive values in a unimodal distribution. The asymmetry...
In this paper, we will see that the proportion of d as p th digit, where p > 1 and d ∈ 0, 9, in data...
The package fitdistrplus provides functions for fitting univariate distributions to different types ...
To help with identifying distributions to effectively model univariate continuous data, the R functi...
Benford’s law has been used by auditors to help reveal data manipulation not only in the context of ...
Benford's law is often used as a support to critical decisions related to data quality or the presen...
Benford's Law is used to test for data irregularities. While novel, there are two weaknesses in the ...
The 29th European Signal Processing Conference (EUSIPCO 2021), Dublin, Ireland, 23-27 August 2021Man...
In this paper, we will see that the proportion of d as leading digit, d ∈ 1, 9, in data (obtained th...
Robust statistical data modelling under potential model mis-specification often requires leaving the...
Benford's Law is used to test for data irregularities. While novel, there are two weaknesses in...
The Birnbaum-Saunders (BS) model is a positively skewed statistical distribution that has received g...
Benford's Law is a statistical regularity of a large number of datasets; assessing the compliance of...
This paper presents new perspectives and methodological instruments for verifying the validity of Be...