1
-
9
of
9
results (0.67 seconds)
Sort By:
-
Definitions For Compound and Simple Interest
Definitions For Compound and Simple Interest This article explores compound and simple interest and the ... From: The Actuary January 1983 – Volume No. 17, Issue No. 1 THE ACTUARY Page Seven DEFINITIONS ...- Authors: James D Broffitt, Stuart Klugman
- Date: Jan 1983
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: The Actuary Magazine
- Topics: Actuarial Profession>Professional development
-
A Linear Programming Approach to Graduation
A Linear Programming ... 23 0 20 19 15 -- 9 13 9 11 . . . . . . . 17 2 --19 29 --20 1 19 --28 18 9= 0 ... that is, Yi = 0 if A 'u" >__ 0 and Ri is basic (17) = --0 if h'u~' < 0 and Ti is bas ic . (18) ...- Authors: James C Hickman, Stuart Klugman, Robert B Miller, Donald R Schuette, Harwood Rosser, Thomas N E Greville
- Date: Oct 1978
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods
-
Hierarchical Bayesian Whittaker Graduation
Hierarchical ... Age Crude V 15 0.51 1,1358 16 0.98 1.5771 17 1.31 1.8994 18 1.09 1.4704 19 1.70 2.1556 20 1 ... 38 1.34 1.34 1.29 1.27 1.24 1.19 1.20 1.16 1 17 1.17 1 14 I . 15 1 12 ! . i0 i I I 1.08 1 ...- Authors: Stuart Klugman
- Date: Jan 1992
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods>Bayesian methods
-
Assessing Credibility of Predictive Model
Assessing Credibility of Predictive Model This session will review limited fluctuation credibility, ... Cross-validation • Useful for smaller datasets 17 1 2 3 4 5 6 Model fit • R2 • Log-likelihood/AIC/BIC ...- Authors: Stuart Klugman, Matthias Kullowatz
- Date: Nov 2019
- Competency: Technical Skills & Analytical Problem Solving
-
Toward a Unified Approach to Fitting Loss Models
following cubic functions provide a good approximation. 17 10% : 0.9289p3 − 2.6822p2 + 2.5761p+ 0.4011 5% ... simplicity and favors the lognormal model. Figures 17 and 18 below provide p−p plots for the two additional ...- Authors: Stuart Klugman, Jacques Rioux
- Date: Jan 2003
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods
-
Believe It Or Not!
Believe It Or Not! Presenters at session ... right answer with the tools that were there. Some 17 years later, our next guest, Hans Buhlmann has the ... 17 Believe It Or Not! into difficulties when trying ...- Authors: Thomas Herzog, Stuart Klugman
- Date: Jun 1998
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Record of the Society of Actuaries
- Topics: Modeling & Statistical Methods
-
Using Case Studies in Actuarial Education
Using Case Studies in Actuarial Education Panelists at this session of the SOA 2001 Toronto ... blue marbles; 27 of them were one blue and four red; 17 were two and three; 26 were three and two, 28 were ...- Authors: Stuart Klugman, Frank Reynolds, Application Administrator, Traci Michell
- Date: Jun 2001
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Record of the Society of Actuaries
- Topics: Actuarial Profession>Qualifications
-
Session 30: M/S - General Insurance Applications of Predictive Analytics (PA)
Session 30: M/S - General Insurance Applications of Predictive Analytics (PA) Techniques that ... lme4 for implementation. Brian Hartman & Peng Shi 17 / 47 Linear Mixed Effects Models Linear Mixed-Effects ...- Authors: Stuart Klugman, Brian Hartman
- Date: Sep 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: General Insurance (Property & Casualty)>Pricing/ratemaking - General Insurance; Modeling & Statistical Methods>Regression analysis
-
Notes on Bayesian Graduation
Notes on Bayesian Graduation This paper discusses the Bayesian graduation method of Kimeldorf and Jones ... l = 4~IIE,. 1 NOTES ON BAYESIAN GRADUATION 17 The ratio h = {det [t(A)-l]/det [t(B)-t]} ~t~ may ...- Authors: James C Hickman, Donald A Jones, Thomas G Kabele, Stuart Klugman, Steven F McKay, Robert B Miller, Harwood Rosser
- Date: Oct 1977
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Transactions of the SOA
- Topics: Modeling & Statistical Methods>Bayesian methods