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amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to … compute the overlap in data sets which are commonly fitted by logistic regression models. The overlap is the number of … observations that would need to be removed to obtain complete or quasicomplete separation, i.e. the situation where the logistic …
Persistent link: https://www.econbiz.de/10010316690
amount of separation between successes and failures in the binary response framework. Extending this algorithm allows us to … compute the overlap in data sets which are commonly fitted by logistic regression models. The overlap is the number of … observations that would need to be removed to obtain complete or quasicomplete separation, i.e. the situation where the logistic …
Persistent link: https://www.econbiz.de/10009793277
Persistent link: https://www.econbiz.de/10010226491
This paper is devoted to the estimation of the probability of default (PD) as a crucial parameter in risk management, requests for loans, rating estimation, pricing of credit derivatives and many others key financial fields. Particularly, in this paper we will estimate the PD of US banks by...
Persistent link: https://www.econbiz.de/10011195616
multivariate outliers as well as influence points corresponding to Linear Discriminant Analysis. The locations of the corresponding …
Persistent link: https://www.econbiz.de/10009770532
Persistent link: https://www.econbiz.de/10012510098
Persistent link: https://www.econbiz.de/10012514625
Persistent link: https://www.econbiz.de/10004993142
multivariate outliers as well as influence points corresponding to Linear Discriminant Analysis. The locations of the corresponding …
Persistent link: https://www.econbiz.de/10010955352
multivariate outliers as well as influence points corresponding to Linear Discriminant Analysis. The locations of the corresponding …
Persistent link: https://www.econbiz.de/10010316672