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This text offers a robust introduction to regression and time-series modeling tailored for actuaries and financial analysts: Introduces fundamentals like linear regression and time-series analysis, using real-world data such as insurance demand, FX rates, and lottery sales Demonstrates advanced methods, covering longitudinal/panel models, two-part frequency–severity frameworks, fat-tailed distributions, and more instruction. Includes practical tools: R and SAS scripts, datasets, report-writing guides, and graph design tips Contains 21 chapters structured from basic regression through actuarial case studies and non-linear modeling formats

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245: $a: Regression Modeling with Actuarial and Financial Applications
245: $b:
082: $a:
100: $a: Edward W. Frees
650: $a: Finance
250: $a:
440: $v:
250: $b: Cambridge University Press
250: $c: 2009
020: $a: 978‑0521135962
300: $a: 584