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  • A Cash Flow Approach to Teaching Actuarial Science
    A Cash Flow Approach to Teaching Actuarial Science The complex world of life insurance, historically the domain of those gifted in integral calculus and probabilistic and present value ...

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    • Authors: Ronald Crabb
    • Date: Jan 1997
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Actuarial Research Clearing House
    • Topics: Modeling & Statistical Methods; Technology & Applications>Software
  • Computing Ruin Probabilities - A Life Table Approach
    Computing Ruin Probabilities - A Life Table Approach Easy access computing power is harnessed to approximate ruin probabilities. The dynamics of the traditional insurance model are stated in the ...

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    • Authors: Manalur S Sandilya
    • Date: Jan 1994
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Enterprise Risk Management; Modeling & Statistical Methods
  • Mixed Lognormal Distributions
    Mixed Lognormal Distributions In this paper, the unconditional probability density functions of portfolio claim amounts based on several assumed risk distributions are found. From the ...

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    • Authors: Jacques F Carriere, Christina Ho
    • Date: Jan 1994
    • Competency: External Forces & Industry Knowledge
    • Publication Name: Actuarial Research Clearing House
    • Topics: Modeling & Statistical Methods
  • Lundberg Bounds on the Tails of Compound Distributions
    Lundberg Bounds on the Tails of Compound Distributions This is the abstract of an article about the classical Lundberg inequality of insurance risk theory. From ACTUARIAL RESEARCH CLEARING ...

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    • Authors: Gordon E Willmot, Xiaodong Sheldon Lin
    • Date: Jan 1994
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Research Clearing House
    • Topics: Modeling & Statistical Methods
  • Information Theoretic Approach to Actuarial Science: A Unification and Extension of Relevant Theory and Applications
    Information Theoretic Approach to Actuarial Science: A Unification and Extension of Relevant Theory and Applications This paper presents a unifying non-Bayesian statistical method for ...

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    • Authors: Bradley P Carlin, Beda Chan, Thomas Herzog, William L Roach, Elias Shiu, Patrick L Brockett, Josh Babier, Wojciech Szatzschneider, E S Rosenbloom
    • Date: Oct 1991
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Transactions of the SOA
    • Topics: Actuarial Profession; Modeling & Statistical Methods
  • A Handful of Economic Capital Model Observations
    A Handful of Economic Capital Model Observations Commentary on practical observations resulting from constructing and running Economic Capital models. Possible standardization of assumptions and ...

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    • Authors: David M Walczak
    • Date: Nov 2019
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: Risk Management
    • Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models
  • A Goal Programming Model for Non-life Insurance Sector’s Tec
    A Goal Programming Model for Non-life Insurance Sector’s Tec This abstract describes a study in which a goal programming model is constructed for analysis of a non-life insurance sector. Goal ...

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    • Authors: Betül karagül
    • Date: Apr 2018
    • Competency: External Forces & Industry Knowledge
    • Topics: Modeling & Statistical Methods
  • Credibility Theory Practices - Bühlmann Empirical Bayesian Method Mortality Examples
    Credibility Theory Practices - Bühlmann Empirical Bayesian Method Mortality Examples Authored by a MIB Solutions team of Tom Rhodes, Stuart Klugman, Marianne Purushotham and Stacy Gill, the ...

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    • Authors: Society of Actuaries
    • Date: Dec 2009
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Life Insurance; Modeling & Statistical Methods
  • Actuaries and Assumptions
    Actuaries and Assumptions In any model, assumptions are necessary to generate output. Typically, the model is run with varying assumptions to determine how sensitive the output is to the input.

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    • Authors: Jonathan Jacob
    • Date: Jan 2011
    • Competency: Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Modeling & Statistical Methods
  • Modeling Assumptions
    Modeling Assumptions This article focuses on one fundamental modeling assumption — the choice of a benchmark rate or risk-free rate. The author looks at this bond market assumption as a case ...

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    • Authors: Catherine Ehrlich
    • Date: Feb 2001
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Risks & Rewards
    • Topics: Economics>Financial markets; Modeling & Statistical Methods