The Experts below are selected from a list of 7359 Experts worldwide ranked by ideXlab platform
Rachel Louis - One of the best experts on this subject based on the ideXlab platform.
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LibGuides: Science - GeoMaths Library - Actuarial Science: Home
2012Co-Authors: Rachel LouisAbstract:The Actuarial libguide has been created to help you find Actuarial Science information. You can use the links on these pages to access materials the library has purchased or subscribed to whether you are on or off campus.
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LibGuides: Science - GeoMaths Library - Actuarial Science: Electronic Books
2012Co-Authors: Rachel LouisAbstract:The Actuarial libguide has been created to help you find Actuarial Science information. You can use the links on these pages to access materials the library has purchased or subscribed to whether you are on or off campus.
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LibGuides: Science - GeoMaths Library - Actuarial Science: Applied Mathematics
2012Co-Authors: Rachel LouisAbstract:The Actuarial libguide has been created to help you find Actuarial Science information. You can use the links on these pages to access materials the library has purchased or subscribed to whether you are on or off campus.
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LibGuides: Science - GeoMaths Library - Actuarial Science: Useful Websites
2012Co-Authors: Rachel LouisAbstract:The Actuarial libguide has been created to help you find Actuarial Science information. You can use the links on these pages to access materials the library has purchased or subscribed to whether you are on or off campus.
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LibGuides: Science - GeoMaths Library - Actuarial Science: Need Help?
2012Co-Authors: Rachel LouisAbstract:The Actuarial libguide has been created to help you find Actuarial Science information. You can use the links on these pages to access materials the library has purchased or subscribed to whether you are on or off campus.
Ellen Brassil - One of the best experts on this subject based on the ideXlab platform.
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The ALA Guide to Information Sources in Insurance, Risk Management, and Actuarial Science, edited by Lucy Heckman
Medical Reference Services Quarterly, 2018Co-Authors: Ellen BrassilAbstract:Just by glancing at the chapter titles, readers of Lucy Heckman’s comprehensive work, The ALA Guide to Information Sources in Insurance, Risk Management and Actuarial Science, will understand why i...
Enrique Alba - One of the best experts on this subject based on the ideXlab platform.
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Actuarial Science AT ITAM
2004Co-Authors: Enrique AlbaAbstract:The Instituto Tecnologico Autonomo de Mexico (ITAM) is a private university founded in 1946 by a group of Mexican businessmen. It is a small institution of higher education, specializing in the management and social Sciences and related disciplines. It is recognized in Mexico for its programs in Economics and Business. It was recently ranked number one among universities in Mexico City by the Newspaper “Reforma” (July 29, 2001). Our Business School has consistently been ranked among the top programs in Latin America; we were ranked number 5 for 2001. We also are one of only two business programs in Mexico that have AACSB accreditation. The Mexican magazine “EXP” ranked ITAM as number two in management and number one in finance. We are also a member of the Program in International Management (PIM) since 1997; again, we are one of only two universities in Mexico that belong to this network.
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“Principal Applications of Bayesian Methods in Actuarial Science: A Perspective”, Udi E. Makov, October 2001
North American Actuarial Journal, 2001Co-Authors: Enrique AlbaAbstract:(2001). “Principal Applications of Bayesian Methods in Actuarial Science: A Perspective”, Udi E. Makov, October 2001. North American Actuarial Journal: Vol. 5, No. 4, pp. 69-72.
Marian Eclevia - One of the best experts on this subject based on the ideXlab platform.
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DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Audio-Visual Materials.
2013Co-Authors: Marian EcleviaAbstract:DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Audio-Visual Materials.
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DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Faculty Publications.
2013Co-Authors: Marian EcleviaAbstract:DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Faculty Publications.
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DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Conference Proceedings.
2013Co-Authors: Marian EcleviaAbstract:DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Conference Proceedings.
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DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Theses and Dissertations.
2013Co-Authors: Marian EcleviaAbstract:DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Theses and Dissertations.
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DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Websites and Web Videos.
2013Co-Authors: Marian EcleviaAbstract:DLSU Libraries : Subject Guides and Webliographies. Actuarial Science. Websites and Web Videos.
Udi E. Makov - One of the best experts on this subject based on the ideXlab platform.
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Principal Applications of Bayesian Methods in Actuarial Science: A Perspective
North American Actuarial Journal, 2001Co-Authors: Udi E. MakovAbstract:Bayesian ideas were introduced into Actuarial Science in the late 1960s in the form of empirical credibility methods for premium setting. The advance of the Bayesian methodology was slow due to its subjective nature and to the computational difficulties associated with the full Bayesian analysis. This paper offers a brief survey of Bayesian solutions to some Actuarial problems and discusses the current state of research.
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Bayesian methods in Actuarial Science
Journal of the Royal Statistical Society. Series D., 1996Co-Authors: Udi E. Makov, A. F. M. Smith, Y. H. LiuAbstract:Statistical methods with a Bayesian flavour, in particular credibility theory, have long been used in the insurance industry as part of the process of estimating risks and setting premiums. Typically, however, fully Bayesian analysis has proved computationally infeasible and various approximate solutions have been proposed. The first part of this paper provides a survey of such problems and the kinds of solutions suggested in the Actuarial literature. The second part reviews recent advances in Bayesian computational methodology and illustrates how it opens the way to a fully Bayesian treatment of a range of Actuarial problems