Add to ORKGIn this work discriminant analysis was applied, but firstly the variables were transformed in order to get normal distribution; and Component Analysis was applied in order to get uncorrelated factors
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
From the time of Altman and the first bankruptcy prediction models, the prediction of default of com...
This dissertation is intended to provide an overview of existing default risk measures for public co...
In this work discriminant analysis was applied, but firstly the variables were transformed in order ...
This article has an aim to assess credit default prediction on the banking market in Bosnia and Herz...
This paper attempts to evaluate the predictive ability of three default prediction models: the marke...
En este artículo se presenta el marco teórico del análisis discriminante y cómo este se aplica como ...
This paper attempts to evaluate the predictive ability of three default prediction models: the marke...
This paper attempts to evaluate the predictive ability of three default prediction models: the marke...
This paper attempts to evaluate the predictive ability of three default prediction models: the marke...
The paper concerns selection of input variab les for discriminant analysis and logistic regression a...
This Bachelor’s thesis analyses one of the credit risk components’ - probability of default. The cas...
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
From the time of Altman and the first bankruptcy prediction models, the prediction of default of com...
This dissertation is intended to provide an overview of existing default risk measures for public co...
In this work discriminant analysis was applied, but firstly the variables were transformed in order ...
This article has an aim to assess credit default prediction on the banking market in Bosnia and Herz...
This paper attempts to evaluate the predictive ability of three default prediction models: the marke...
En este artículo se presenta el marco teórico del análisis discriminante y cómo este se aplica como ...
This paper attempts to evaluate the predictive ability of three default prediction models: the marke...
This paper attempts to evaluate the predictive ability of three default prediction models: the marke...
This paper attempts to evaluate the predictive ability of three default prediction models: the marke...
The paper concerns selection of input variab les for discriminant analysis and logistic regression a...
This Bachelor’s thesis analyses one of the credit risk components’ - probability of default. The cas...
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
This paper presents methods to estimate the probability of default (PD), a crucial parameter in ba...
From the time of Altman and the first bankruptcy prediction models, the prediction of default of com...
This dissertation is intended to provide an overview of existing default risk measures for public co...