Regression Modeling with Actuarial and Financial Applications

Regression Modeling with Actuarial and Financial Applications
Author: Edward W. Frees
Publisher: Cambridge University Press
Total Pages: 585
Release: 2010
Genre: Business & Economics
ISBN: 0521760119


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This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.


Regression Modeling with Actuarial and Financial Applications
Language: en
Pages: 585
Authors: Edward W. Frees
Categories: Business & Economics
Type: BOOK - Published: 2010 - Publisher: Cambridge University Press

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This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.
Regression Modeling with Actuarial and Financial Applications
Language: en
Pages: 584
Authors: Edward W. Frees
Categories: Business & Economics
Type: BOOK - Published: 2009-11-30 - Publisher: Cambridge University Press

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This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques
Regression Modeling with Actuarial and Financial Applications
Language: en
Pages: 565
Authors: Edward W. Frees
Categories: Electronic book
Type: BOOK - Published: 2010 - Publisher:

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This title gives actuarial and finance students a foundation in multiple regression and time series, and discusses advanced statistical topics that are relevant
Predictive Modeling Applications in Actuarial Science
Language: en
Pages: 565
Authors: Edward W. Frees
Categories: Business & Economics
Type: BOOK - Published: 2014-07-28 - Publisher: Cambridge University Press

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This book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive
Financial and Actuarial Statistics
Language: en
Pages: 392
Authors: Dale S. Borowiak
Categories: Business & Economics
Type: BOOK - Published: 2013-11-12 - Publisher: CRC Press

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Understand Up-to-Date Statistical Techniques for Financial and Actuarial ApplicationsSince the first edition was published, statistical techniques, such as reli