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Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science) - Hardcover
Synopsis
This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They 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. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: http://research.bus.wisc.edu/RegActuaries.
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Review
'It would be an ideal text for a semester - or a year-long course in applied statistical methods for actuarial science majors. But it would also be a welcome addition to the bookshelf of pracitcing actuaries at all levels, both actuarial students charged with conducting analyses for which the methods discussed in the book are most relevant, and senior managers who use such analysis as a basis for financial decision making ... Perhaps my favorite part of Fee's book is the final two chapters, on Report Writing and Designing Effective Graphs. If these fine essays do not already appear somewhere on the Society of Actuaries syllabus, they should be added immediately.' Ronald C. Neath, The American Statistician
Book Description
This book gives actuarial and finance students a foundation in multiple regression and time series, and discusses advanced statistical topics that are relevant to actuarial and financial practice. It uses statistical techniques to analyze real data in risk management and finance. No specific knowledge of these areas is presumed.
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- PublisherCambridge University Press
- Publication date2010
- ISBN 10 0521760119
- ISBN 13 9780521760119
- BindingHardcover
- LanguageEnglish
- Number of pages584
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Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)
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Cambridge University Press, 2009
ISBN 10: 0521760119
ISBN 13: 9780521760119
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Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)
Published by
Cambridge University Press, 2009
ISBN 10: 0521760119
ISBN 13: 9780521760119
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Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)
Published by
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ISBN 13: 9780521760119
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Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)
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ISBN 13: 9780521760119
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Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)
Published by
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ISBN 10: 0521760119
ISBN 13: 9780521760119
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Regression Modeling With Actuarial and Financial Applications
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Regression Modeling with Actuarial and Financial Applications
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Regression Modeling with Actuarial and Financial Applications (International Series on Actuarial Science)
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ISBN 13: 9780521760119
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Regression Modeling With Actuarial and Financial Applications
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Regression Modeling With Actuarial and Financial Applications (Hardcover)
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ISBN 10: 0521760119
ISBN 13: 9780521760119
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Hardcover. Condition: new. Hardcover. This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They 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. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: This book gives actuarial and finance students a foundation in multiple regression and time series, and discusses advanced statistical topics that are relevant to actuarial and financial practice. It uses statistical techniques to analyze real data in risk management and finance. No specific knowledge of these areas is presumed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521760119
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