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Can I read Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science) on EtoBox?

Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science) by Frees, Edward W.; is a nonfiction available to read on EtoBox.

What is Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science) about?

"Statistical techniques can be used to address new situations. This is important in a rapidly evolving risk management and financial world. Analysts with a strong statistical background understand that a large data set can represent a treasure trove of information to be mined and can yield a strong competitive advantage. This book provides budding actuaries and financial analysts with a foundation in multiple regression and time series. Readers will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data"--Back cover.;1. Regression and the Normal Distribution -- pt. I. Linear Regression -- 2. Basic Linear Regression -- 3. Multiple Linear Regression -- I -- 4. Multipl

Who reads Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Frees, Edward W.;
Publisher
Cambridge University Press (Virtual Publishing)
Published
2010
Language
EN
ISBN
9781107713352
Category
nonfiction
Subjects
Mathematics, Finance, Science
Updated
2026-03-24

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