Embrace probabilistic risk models for the world's biggest agricultural producers
Contenido multimedia no disponible por derechos de autor o por acceso restringido. Contacte con la institución para más información.
| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cab a2200000 4500 | ||
| 001 | MAP20170030096 | ||
| 003 | MAP | ||
| 005 | 20170920165429.0 | ||
| 008 | 170915e20170901sgp|||p |0|||b|eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a932 | ||
| 245 | 0 | 0 | $aEmbrace probabilistic risk models for the world's biggest agricultural producers |
| 300 | $a3 p. | ||
| 520 | $aAgricultural risks are very complex and academia and the insurance industry need to work hand-in-hand to meet the challenges. Dr Laurent Marescot from RMS urges the insurance sector to look towards comprehensive probabilistic risk models to underwrite this class of insurance. | ||
| 650 | 4 | $0MAPA20080576653$aMercado agrícola | |
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080611613$aModelos probabílisticos | |
| 773 | 0 | $wMAP20090003767$tAsia insurance review$dSingapore : Ins Communications Pte Ltd., 2009-$x0218-2696$g01/09/2017 Número 9 - septiembre 2017 , p. 70-72 |