The design of weather index insurance using principal component regression and partial least squares regression : the case of forage crops
Milton Boyd, Brock Porth, Lysa Porth, Ken Seng Tan, Shuo Wang, and Wenjun Zhu
| Year of publication: |
2020
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|---|---|
| Authors: | Boyd, Milton ; Porth, Brock ; Porth, Lysa ; Ken Seng Tan ; Wang, Shuo ; Zhu, Wenjun |
| Published in: |
North American actuarial journal : NAAJ ; leading the way with original research and innovative applications for actuarial science. - Chicago, Ill. : [Verlag nicht ermittelbar], ISSN 2325-0453, ZDB-ID 2097702-5. - Vol. 24.2020, 3, p. 355-369
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| Subject: | Regressionsanalyse | Regression analysis | Wetter | Weather | Agrarversicherung | Agricultural insurance | Schätztheorie | Estimation theory | Kleinste-Quadrate-Methode | Least squares method |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/10920277.2019.1669055 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012289575