Credit Scoring And Its Applications By L C Thomas Hot Jun 2026

Before the 1990s, credit scoring was largely statistical discrimination: linear regression models using a handful of variables (income, debt, employment length). Thomas’s breakthrough was to reframe credit scoring as a .

(as of 2026 perspective)

When financial institutions began replacing judgmental schemes with statistical models, , proving the objective predictive power of data-driven scorecards. The Two Core Lending Decisions credit scoring and its applications by l c thomas hot