| 000 | 02560nam a2200397 i 4500 | ||
|---|---|---|---|
| 001 | CR9781139342674 | ||
| 003 | UkCbUP | ||
| 005 | 20240916172722.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 120305s2014||||enk o ||1 0|eng|d | ||
| 020 | _a9781139342674 (ebook) | ||
| 020 | _z9781107029873 (hardback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aHG8781 _b.P74 2014 |
| 082 | 0 | 0 |
_a368/.01 _223 |
| 245 | 0 | 0 |
_aPredictive modeling applications in actuarial science. _nVolume 1, _pPredictive modeling techniques / _cedited by Edward W. Frees, Richard A. Derrig, Glenn Meyers. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2014. |
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| 300 |
_a1 online resource (xx, 543 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 | _aInternational series on actuarial science | |
| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 520 | _aPredictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill - actuaries routinely apply predictive-modeling techniques in insurance and other risk-management applications. This book is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples of predictive modeling. The book also addresses the needs of more seasoned practising analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. Predictive Modeling Applications in Actuarial Science emphasizes lifelong learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used by analysts to gain a competitive advantage in situations with complex data. | ||
| 650 | 0 | _aActuarial science. | |
| 650 | 0 |
_aInsurance _xMathematical models. |
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| 650 | 0 |
_aForecasting _xMathematical models. |
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| 700 | 1 |
_aFrees, Edward W., _eeditor. |
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| 700 | 1 |
_aDerrig, Richard A., _eeditor. |
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| 700 | 1 |
_aMeyers, Glenn, _eeditor. |
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| 776 | 0 | 8 |
_iPrint version: _z9781107029873 |
| 830 | 0 | _aInternational series on actuarial science. | |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9781139342674 |
| 942 |
_2ddc _cEB |
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| 999 |
_c9448 _d9448 |
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