| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A measure of interrater absolute agreement for ordinal categorical data
|
Bove, Giuseppe
|
|
|
30 |
3 |
p. 927-945
|
artikel
|
| 2 |
A multivariate test for detecting fraud based on Benford’s law, with application to music streaming data
|
Mumic, Nermina
|
|
|
30 |
3 |
p. 819-840
|
artikel
|
| 3 |
An empirical comparison of two approaches for CDPCA in high-dimensional data
|
Freitas, Adelaide
|
|
|
30 |
3 |
p. 1007-1031
|
artikel
|
| 4 |
A unified approach to permutation testing for equivalence
|
Arboretti, Rosa
|
|
|
30 |
3 |
p. 1033-1052
|
artikel
|
| 5 |
Bayesian inference of multiple structural change models with asymmetric GARCH errors
|
Chen, Cathy W. S.
|
|
|
30 |
3 |
p. 1053-1078
|
artikel
|
| 6 |
Confronting collinearity in environmental regression models: evidence from world data
|
García-García, Claudia
|
|
|
30 |
3 |
p. 895-926
|
artikel
|
| 7 |
Forum on Benford’s law and statistical methods for the detection of frauds
|
Barabesi, Lucio
|
|
|
30 |
3 |
p. 767-778
|
artikel
|
| 8 |
Including covariates in a space-time point process with application to seismicity
|
Adelfio, Giada
|
|
|
30 |
3 |
p. 947-971
|
artikel
|
| 9 |
Recurrence relations and Benford’s law
|
Farris, Madeleine
|
|
|
30 |
3 |
p. 797-817
|
artikel
|
| 10 |
robROSE: A robust approach for dealing with imbalanced data in fraud detection
|
Baesens, Bart
|
|
|
30 |
3 |
p. 841-861
|
artikel
|
| 11 |
Robust Wald-type tests in GLM with random design based on minimum density power divergence estimators
|
Basu, Ayanendranath
|
|
|
30 |
3 |
p. 973-1005
|
artikel
|
| 12 |
Semiautomatic robust regression clustering of international trade data
|
Torti, Francesca
|
|
|
30 |
3 |
p. 863-894
|
artikel
|
| 13 |
The mathematics of Benford’s law: a primer
|
Berger, Arno
|
|
|
30 |
3 |
p. 779-795
|
artikel
|
| 14 |
Unified Bayesian conditional autoregressive risk measures using the skew exponential power distribution
|
Bottone, Marco
|
|
|
30 |
3 |
p. 1079-1107
|
artikel
|
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