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Minimum Cramér-Von Mises Estimators and their Influence Function
mostly bocausc of lhcir good robust noss f)rolmrt.ics, s(,(' I)onoho and Liu (l!)SSa, I~')881)), llcran (1 ... mm~crical example of csl.imaiion using tim M(:\:Mt'; in s('cl, iol~ ,1. 2. THE PROBLEM The prot)lcnl we ...- Authors: Thierry Duchesne, Jacques Rioux, ANDREW LUONG
- Date: Jan 1997
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Modeling & Statistical Methods
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Toward a Unified Approach to Fitting Loss Models
the exact value was observed. Next, consider a mortality study following people from birth. If 547 people ... distribution function is defined for all values. Let U be the largest right censored observation, pro- vided ...- 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
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Minimum Quadratic Distance Estimation for the Proportional Hazards Regression Model with Group Data
Minimum Quadratic Distance Estimation for the Proportional Hazards Regression Model with Group ... study a survival regression model known as Cox's proportional Hazards model. We assume that the data ...- Authors: Jacques Rioux, ANDREW LUONG
- Date: Jan 1996
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Experience Studies & Data>Mortality; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Regression analysis