1
-
8
of
8
results (0.59 seconds)
Sort By:
-
Life Table Techniques Applied to Experiments in Carcinogenesis, and Other Investigations
Life Table Techniques Applied to Experiments in Carcinogenesis, and Other Investigations The purpose ... expectancy;Morbidity rates=Morbidity tables;Mortality rates=Mortality tables=Death rates ; 18964 1/1/1979 ...- Authors: John A Beekman
- Date: Jan 1979
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods
-
Collective Risk Results
} O~t<T denotes the largest value of the X(t)'s between 0 and T, an interesting question is the determination ... nonpositive claims. Such claims occur when a life annuity terminates and a reserve is released. We will let ...- Authors: John A Beekman
- Date: May 1968
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods
-
A Ruin Function Approximation
nonpositive claims. Such claims occur when a life annuity terminates and a reserve is released. We will let ... risk reserve of size u. At time t, the risk reserve U(t) is given by N(t) u(t) = u + (p, + x) t - ~x ...- Authors: John A Beekman
- Date: Apr 1969
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods
-
An Alternative Premium Calculation Method for Certain Long-Term Care Coverages
An Alternative Premium Calculation Method for Certain Long-Term Care Coverages In this paper ... expectancy;Long-term care=LTC;Mortality assumption;Mortality rates=Mortality tables=Death rates ;Product ...- Authors: John A Beekman
- Date: Jan 1990
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Long-term Care>Long-term care insurance; Modeling & Statistical Methods
-
Practical Applications of the Ruin Function
function technique in the determination of the C-2 mortality risk reserve needed for individual life insurance ... capital=RBC;Statistical methods;Stop-loss insurance;Mortality risk;Risk theory; 2540 10/1/1984 12:00:00 AM ...- Authors: John A Beekman, George E Reckin, Elias Shiu, John Snyder, Daniel J Schwark
- Date: Oct 1984
- Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management
- Publication Name: Transactions of the SOA
- Topics: Life Insurance; Modeling & Statistical Methods
-
Simulation of the Ruin Potential of Non-Life Insurance Companies
Simulation of the Ruin Potential of Non-Life Insurance Companies A simplified model adapts very ... calculate the probability of a casualty company's being ruined shortly after its establishment. From ...- Authors: John A Beekman, Hilary L Seal
- Date: Nov 1969
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods
-
Actuarial Research Conference
Actuarial Research Conference Report on the topics and speakers at the Actuarial Research Conference ... Bayesian methods;Contingencies;Mortality modeling;Mortality rates=Mortality tables=Death rates ;Pension ...- Authors: John A Beekman
- Date: Nov 1978
- Competency: Communication; External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Actuary Magazine
- Topics: Actuarial Profession>Professional associations; Modeling & Statistical Methods
-
A New Collective Risk Model
aggregate premiums is greater than the initial reserve u is e, where ~ = 0.001 or some other appropriately ... X, -- t(t,, + X)] > . I = The "initial reserve u" may be considered to be an amount of money which ...- Authors: John A Beekman, Ethan Stroh, Richard W Ziock
- Date: Oct 1973
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Stochastic models