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Modeling Home Equity Conversion Mortgages
used to estimate the amount of a level-payment annuity payable as long as the person is alive and living ... Society of Actuaries 1991, Vol. 43. Assumptions;Mortality assumption;Mortgages; 2679 10/1/1991 12:00:00 ...- Authors: Thomas Herzog, Tapen Sinha, Theresa R DiVenti, Application Administrator
- Date: Oct 1991
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Finance & Investments>Investments; Modeling & Statistical Methods>Stochastic models
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Compartment Model Methods in Estimating Cancer Costs
Compartment Model Methods in Estimating Cancer Costs This paper proposes the use of stochastic compartment ... 34. Cancer;Morbidity rates=Morbidity tables;Mortality modeling; 2487 10/1/1982 12:00:00 AM ...- Authors: H Tolley, P J Stallard, Kenneth G Manton
- Date: Oct 1982
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods>Stochastic models
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Book Reviews and Notices
profession. Reviews: 'Medical Risks: Patterns of Mortality and Survival' by Singer and Levinson, 'The ... 'The Graduation of Pensioners and of Annuitants Mortality Experience 1967-70' by the Institute of Actuaries ...- Authors: Society of Actuaries
- Date: Oct 1977
- Competency: External Forces & Industry Knowledge>External forces and business performance; Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Health & Disability>Disability insurance; Health & Disability>Health risks; Modeling & Statistical Methods>Stochastic models; Pensions & Retirement; Pensions & Retirement>Funding; Social Insurance>Social Security
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A Stochastic Investment Model
integral-valued, stochastic process, independent of the X?s and with N(O) -- O. This process counts the random ... degree than is true even for insurance claims. Let S(t) --- ~N('~ X~ be a random sum of the random variables ...- Authors: John A Beekman
- Date: Jan 1980
- Competency: Results-Oriented Solutions
- Publication Name: Transactions of the SOA
- Topics: Finance & Investments; Modeling & Statistical Methods>Stochastic models
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An Actuarial Layman's Guide to Building Stochastic Interest Rate Generators
An Actuarial Layman's Guide to Building Stochastic Interest Rate Generators Without ... An Actuarial Layman's Guide to Building Stochastic Interest Rate Generators Without relying on formulas ...- Authors: James A Tilley
- Date: Oct 1992
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods>Stochastic models
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An Introduction to Collective Risk Theory and its Application to Stop-Loss Reinsurance
two kinds, external risks such as heavy excess mortality resulting from wars and epidemics, and the risk ... completely, and the values of G(y, t) are shown in Table 1 by way of example. The details are left to the ...- Authors: Ernest A Arvanitis, Russell M Collins, Paul H Jackson, Robert C Tookey, Paul Markham Kahn, Herbert L Feay
- Date: Oct 1962
- 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; Reinsurance>Stop-loss insurance
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Optimal Ruin Calculations Using Partial Stochastic Information
at time t is defined to be U(t) = u + ct - S(t), t>-O. Here U(0) = u is the initial surplus, c is ... fund in dollars per year, and S is the stochastic claims process: S(t) = X l + . . . + Xu(o, where ...- Authors: Samuel Cox, Patrick L Brockett
- Date: Oct 1984
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods>Stochastic models
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A Multirisk Stochastic Process
function P(x). Assume that E(X~) = Pl > 0. The X~'s represent the claims, and p, is the expected value ... function (s < t) is 0 P{x(t ) < ylX(s) = x} p(x, s; y, t) = -~y u.n-- {y - • exp [ -~( t - s)l}'-n ...- Authors: John A Beekman, Harry H Panjer, UNKNOWN David Bellhouse, Clinton P Fuelling
- Date: Oct 1978
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods>Stochastic models
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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
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Multivariate Stochastic Immunization Theory
m- 1, the collection of residuals: {ziij - ~t u N,},j = 1, 2, ... (1.3) is as small as possible ... If P(i)=S(i) denotes the price function of surplus or net worth, where S(i)=A(i)-L(i) and S(io)#0, the ...- Authors: Robert Reitano
- Date: Oct 1993
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Finance & Investments>Investment strategy - Finance & Investments; Modeling & Statistical Methods>Stochastic models