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Predictive Modeling Applications in - Hardcover, by Frees Edward W. - Very Good
US $71.37
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A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections.
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Item specifics
- Condition
- Book Title
- Predictive Modeling Applications in Actuarial Science: Volume 2,
- ISBN
- 9781107029880
- Subject Area
- Social Science, Business & Economics
- Publication Name
- Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance
- Publisher
- Cambridge University Press
- Item Length
- 10 in
- Subject
- Future Studies, Statistics, Insurance / General
- Publication Year
- 2016
- Series
- International Series on Actuarial Science Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 0.8 in
- Item Weight
- 25.8 Oz
- Item Width
- 7 in
- Number of Pages
- 330 Pages
About this product
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
1107029880
ISBN-13
9781107029880
eBay Product ID (ePID)
221389721
Product Key Features
Number of Pages
330 Pages
Publication Name
Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance
Language
English
Subject
Future Studies, Statistics, Insurance / General
Publication Year
2016
Type
Textbook
Subject Area
Social Science, Business & Economics
Series
International Series on Actuarial Science Ser.
Format
Hardcover
Dimensions
Item Height
0.8 in
Item Weight
25.8 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2013-049070
Dewey Edition
23
Reviews
Praise for Volume 1: "With contributions coming from a wide variety of researchers, professors, and actuaries - including several CAS Fellows - it's clear that this book will be valuable for any actuary whose main concern is using predictive modeling in his or her own work." David Zornek, Actuarial Review
Illustrated
Yes
Dewey Decimal
368.01
Table Of Content
1. Pure premium modeling using generalized linear models Ernesto Schirmacher; 2. Applying generalized linear models to insurance data - frequency-severity vs pure premium modeling Dan Tevet; 3. GLMs as predictive claim models Greg Taylor and James Sullivan; 4. Frameworks for general insurance ratemaking - beyond the generalized linear model Peng Shi and James Guszczaz; 5. Using multilevel modeling for group health insurance ratemaking - a case study from the Egyptian market Mona S. A. Hammad and Galal A. H. Harby; 6. Clustering in general insurance pricing Ji Yao; 7. Advanced unsupervised learning methods applied to insurance claims data Louise A. Francis; 8. The predictive distribution of loss reserve estimates over a finite time horizon Glenn Meyers; 9. Finite mixture model and workers compensation large loss regression analysis Luyang Fu and Xianfang Liu; 10. A framework for managing claim escalation using predictive modeling Mohamad A. Hindawi and Claudine H. Modlin; 11. Predictive modeling for usage-based auto insurance Udi Makov and Jim Weiss.
Synopsis
Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for seasoned practicing analysts as well as those just starting out., Predictive modeling involves the use of data to forecast future events. Building on the foundations developed in the first volume, Volume 2 examines applications of predictive modeling, focusing on property and casualty insurance, exposing readers to a variety of techniques in real-life contexts that demonstrate the value of predictive modeling.
LC Classification Number
HG8781.P74 2016
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