Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Edward W. Frees"'
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107639- (2021)
The dataset tracks 40,284 insurance clients over five years, between 2010 and 2015, who subscribed to both automobile and homeowners insurance. We have combined information on these customers. First, the characteristics including age, gender or drivi
Externí odkaz:
https://doaj.org/article/3f6ad7b782174831a6bf138b055594c7
Publikováno v:
Risks, Vol 4, Iss 1, p 4 (2016)
In insurance and related industries including healthcare, it is common to have several outcome measures that the analyst wishes to understand using explanatory variables. For example, in automobile insurance, an accident may result in payments for da
Externí odkaz:
https://doaj.org/article/f49976eb4a6d462a977e90045191aed8
Autor:
Edward W. Frees
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
Publikováno v:
ASTIN Bulletin. 52:735-764
Customer churn, which insurance companies use to describe the non-renewal of existing customers, is a widespread and expensive problem in general insurance, particularly because contracts are usually short-term and are renewed periodically. Tradition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c35e7f44ee73dbf5addb9be25417817e
https://doi.org/10.1017/asb.2022.18
https://doi.org/10.1017/asb.2022.18
Autor:
Edward W. Frees
This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These models have found important applications within business, economics, education, political science and other social
Autor:
Edward W. Frees, Fei Huang
Publikováno v:
North American Actuarial Journal. 27:2-24
The insurance industry is built on risk classification, grouping insureds into homogeneous classes. Through actions such as underwriting, pricing, and so forth, it differentiates, or discriminates, among insureds. Actuaries have responsibility for pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4e51d305a350e33e7296950f1e54bdc
https://doi.org/10.1080/10920277.2021.1951296
https://doi.org/10.1080/10920277.2021.1951296
Publikováno v:
Annals of Actuarial Science. 15:485-487
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5212daa9266ca609b82553fe0fdf536b
https://doi.org/10.1017/s174849952100021x
https://doi.org/10.1017/s174849952100021x
Publikováno v:
Data in Brief, Vol 39, Iss, Pp 107639-(2021)
Data in Brief
Dipòsit Digital de la UB
Universidad de Barcelona
Data in Brief
Dipòsit Digital de la UB
Universidad de Barcelona
The dataset tracks 40,284 insurance clients over five years, between 2010 and 2015, who subscribed to both automobile and homeowners insurance. We have combined information on these customers. First, the characteristics including age, gender or drivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3549d65214ec28fccd99f793e41bdcea
http://www.sciencedirect.com/science/article/pii/S2352340921009148
http://www.sciencedirect.com/science/article/pii/S2352340921009148
Autor:
Lisa Gao, Edward W. Frees
Publikováno v:
North American Actuarial Journal. 24:211-227
Insurance as a discipline has long embraced analytics, and market trends signal an even stronger relationship going forward. This article is a case study on the use of predictive analytics in the c...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84775770589513882e50844381023a6e
https://doi.org/10.1080/10920277.2019.1634597
https://doi.org/10.1080/10920277.2019.1634597
Publikováno v:
Journal of the American Statistical Association, 115(530), 707-720. Taylor and Francis Ltd.
Multivariate discrete outcomes are common in a wide range of areas including insurance, finance, and biology. When the interplay between outcomes is significant, quantifying dependencies among interrelated variables is of great importance. Due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6862ce8c32d886cb4fe465c2415ca0e
https://doi.org/10.1080/01621459.2018.1546586
https://doi.org/10.1080/01621459.2018.1546586