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Company Default prediction - DLMM Internal Rating Model in R
Steps followed to implement the DLMM Model in R language
Step 1 – Converting SPSS formatted data
Step 2 - One by one empirical analysis of variables
Step 3 - Cross-tabulation 01STATUS versus Industry Sector Code
Step 4 - Exploring graphically the probability distribution of a variable
Step 5 - Testing the normality of the probability distribution of a variable
Step 6 - Evaluating the good/bad discriminant power of a variable
Step 7 - Empirical monotonicity of ROE relative to good-bad progression
Step 8 - Correlation between variable couples
Step 9 - Analysis of outliers
Step 10 - Data encoding
Step 11 - Synoptic table of variable properties
Step 12 - Linear Discriminant Analysis - Initial approach
Step 13 - Experimenting with Stepwise Linear Discriminant Analysis
Step 14 - Gaussian Copula encoding scheme
Main
Company Default prediction - DLMM Internal Rating Model in R
Category - Company Default prediction - DLMM Internal Rating Model in R
Articles
Steps followed to implement the DLMM Model in R language
Step 1 – Converting SPSS formatted data
Step 2 - One by one empirical analysis of variables
Step 3 - Cross-tabulation 01STATUS versus Industry Sector Code
Step 4 - Exploring graphically the probability distribution of a variable
Step 5 - Testing the normality of the probability distribution of a variable
Step 6 - Evaluating the good/bad discriminant power of a variable
Step 7 - Empirical monotonicity of ROE relative to good-bad progression
Step 8 - Correlation between variable couples
Step 9 - Analysis of outliers
Step 10 - Data encoding
Step 11 - Synoptic table of variable properties
Step 12 - Linear Discriminant Analysis - Initial approach
Step 13 - Experimenting with Stepwise Linear Discriminant Analysis
Step 14 - Gaussian Copula encoding scheme
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