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How informative is the text of securities complaints?
Badawi, Adam B. - In: The journal of law, economics, and organization 39 (2023) 3, pp. 801-827
Persistent link: https://www.econbiz.de/10014427555
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Regression analysis in litigation : some overlooked considerations
Stano, Miron - In: Journal of legal economics 1 (1991) 3, pp. 68-78
Persistent link: https://www.econbiz.de/10001119701
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Explaining and Predicting Cultural Differences in Negotiation
Gelfand, Michele J.; Severance, Laura; Fulmer, C. Ashley; … - In: The Oxford handbook of economic conflict resolution. 2012
Persistent link: https://www.econbiz.de/10012881881
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Forecasting crime data : an econometric analysis
Fox, James Alan - 1978
Persistent link: https://www.econbiz.de/10000001796
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Predicting criminality : forecasting behaviour on parole
Laune, Ferris Finley - 1936
Persistent link: https://www.econbiz.de/10000386723
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Short-term forecasting of crime
Gorr, Wilpen L.; Olligschlaeger, Andreas M.; Thompson, … - In: International journal of forecasting 19 (2003) 4, pp. 579-594
Persistent link: https://www.econbiz.de/10001818757
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Criminal incident prediction using a point-pattern-based density model
Liu, Hua; Brown, Donald E. - In: International journal of forecasting 19 (2003) 4, pp. 603-622
Persistent link: https://www.econbiz.de/10001818835
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Forecasting Methods in Crime and Justice
Berk, Richard - 2008
Researchers who study crime and justice have been forecasting a variety of outcomes for nearly a century. Perhaps the … and time trends in crime. However, it is very difficult to determine how accurate such forecasts have been because few … forecasts have been properly evaluated. In the hope of improving crime and justice forecasts in the future, this article reviews …
Persistent link: https://www.econbiz.de/10012768142
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Hierarchical Markov-switching models for multivariate integer-valued time-series
Catania, Leopoldo; Di Mari, Roberto - In: Journal of econometrics 221 (2021) 1, pp. 118-137
Persistent link: https://www.econbiz.de/10012618804
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Crime prediction by data-driven Green's function method
Kajita, Mami; Kajita, Seiji - In: International journal of forecasting 36 (2020) 2, pp. 480-488
Persistent link: https://www.econbiz.de/10012415175