Pages that link to "Item:Q320834"
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The following pages link to Modeling international trade data with the Tweedie distribution for anti-fraud and policy support (Q320834):
Displaying 12 items.
- The tempered discrete Linnik distribution (Q1742842) (← links)
- Semiautomatic robust regression clustering of international trade data (Q2062337) (← links)
- Tempered positive Linnik processes and their representations (Q2106799) (← links)
- An evolutionary approach to fraud management (Q2178152) (← links)
- Assessing trimming methodologies for clustering linear regression data (Q2418092) (← links)
- A new look at the inverse Gaussian distribution with applications to insurance and economic data (Q5036583) (← links)
- The computation of the probability density and distribution functions for some families of random variables by means of the Wynn-ρ accelerated Post-Widder formula (Q5088046) (← links)
- Outlier-free merging of homogeneous groups of pre-classified observations under contamination (Q5106986) (← links)
- Newcomb–Benford law and the detection of frauds in international trade (Q5222799) (← links)
- What drives illicit financial flows? An empirical study of trade data discrepancies (Q6049592) (← links)
- On Characterizations and Tests of Benford’s Law (Q6110708) (← links)
- Goodness-of-Fit Testing for the Newcomb-Benford Law With Application to the Detection of Customs Fraud (Q6623186) (← links)
