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Global Mortality Improvement Experience and Projection Techniques
individual representative ages, typically ages 30-95. Care should be taken in applying insured data mortality ... statistic for population and insured data. 5. Primary Data Sources for Mortality Improvement Measurement ...- Authors: Emiliano Valdez, Marianne C Purushotham, Huijing Wu
- Date: Jun 2011
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Demography>Mortality - Demography; Experience Studies & Data>Mortality
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Report on Mortality Improvement Scales for Canadian Insured Lives
2001 – 2002), which is probably too short for a direct statistical projection, no matter which model is ... age-specific mortality trends, which is in fact the primary problem of some other older approaches of mortality ...- Authors: Ken Seng Tan, Mary Hardy, Siu-Hang Li
- Date: May 2007
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Demography>Mortality - Demography; Experience Studies & Data>Mortality
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Cause-of-Death Life Tables: Application of A New Technique to Worldwide Data
Cause-of-Death Life Tables: Application of A New Technique to Worldwide Data In an increasing ... in life table parameters. The reader may proceed direct- ly to the section on "Applications" (p. 91) without ...- Authors: Hans U Gerber, Cecil J Nesbitt, Robert Schoen, Sam Preston, Thomas N E Greville, Application Administrator
- Date: Oct 1973
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Transactions of the SOA
- Topics: Demography>Mortality - Demography; Experience Studies & Data>Mortality; Modeling & Statistical Methods