Credit Scoring and Its Applications, Second Edition : Back Matter Page 1 Bibliography [1] Acharya, VV, Bharath, ST, and Srinivasan, A. (2007) Does industry-wide distress affect …
D Lando - Handbook of Financial Time Series, 2009 - Springer
The chapter gives a broad outline of the central themes of credit risk modeling starting with the modeling of default probabilities, ratings and recovery. We present the two main …
M Kateri - Statistics for Industry and Technology, 2014 - Springer
The focus of this book is on models for contingency table analysis. It deals mainly with log- linear models and special models for ordinal data (log-linear or nonlinear). Special models …
The use of credit scoring-the quantitative and statistical techniques to assess the credit risks involved in lending to consumers-has been one of the most successful if unsung …
Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and …
Y Huang, W Jiao, K Wang, E Li, Y Yan, J Chen, X Guo - Energy Policy, 2022 - Elsevier
Modern energy services that are close to perfect are the basis for sustainable development. Measuring energy poverty from a multidimensional perspective and revealing its dynamic …
Despite mounting evidence to the contrary, credit migration matrices, used in many credit risk and pricing applications, are typically assumed to be generated by a simple Markov …
Data on functional disability are of widespread policy interest in the United States, especially with respect to planning for Medicare and Social Security for a growing population of elderly …
Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at …