Regression Modeling With Actuarial And Financial Applications
Download and Read Regression Modeling With Actuarial And Financial Applications full books in PDF, ePUB, and Kindle. Read online free Regression Modeling With Actuarial And Financial Applications ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
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 |
Download Regression Modeling with Actuarial and Financial Applications Book in PDF, Epub and Kindle
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 Related Books
Language: en
Pages: 585
Pages: 585
Type: BOOK - Published: 2010 - Publisher: Cambridge University Press
This book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.
Language: en
Pages: 584
Pages: 584
Type: BOOK - Published: 2009-11-30 - Publisher: Cambridge University Press
This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques
Language: en
Pages: 565
Pages: 565
Type: BOOK - Published: 2010 - Publisher:
This title gives actuarial and finance students a foundation in multiple regression and time series, and discusses advanced statistical topics that are relevant
Language: en
Pages: 565
Pages: 565
Type: BOOK - Published: 2014-07-28 - Publisher: Cambridge University Press
This book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive
Language: en
Pages: 392
Pages: 392
Type: BOOK - Published: 2013-11-12 - Publisher: CRC Press
Understand Up-to-Date Statistical Techniques for Financial and Actuarial ApplicationsSince the first edition was published, statistical techniques, such as reli