RECENT PROBABILITY RESULTS FOR EXTREME AGES.

Abstract

Consider a very large number of persons, and probability distributions for the age at death of the last survivor, next to last survivor, etc. First, suppose that the persons are statistically independent with the same probability distribution for age at death (random sample case). Then, some approximations to distributions of extremes are often usable. These approximations are completely specified except for at most three parameters. This simplifies distribution estimation to estimation of the parameters. Moreover, previous large samples (possibly different sizes) from the same population of persons, and much of their data on extremes, can be used for estimation. Also, the sample results often remain applicable for the more general case of independence (or mild dependence) but possibly different distributions for the ages at death. Here, the average of these distributions is 'sampled.' Very recent results show that distributions of extremes are of the sample type for any joint distribution of the ages at death. However, the distribution 'sampled' can be greatly different for the last survivor, next to last survivor, etc. This effectively limits estimation of parameters to previous groups having very nearly the same joint distribution and use of one observed extreme per group. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 20, 1968
Accession Number
AD0680019

Entities

People

  • John E. Walsh

Organizations

  • Southern Methodist University

Tags

DTIC Thesaurus Topics

  • Bayes Theorem
  • Computing-Related Activities
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Population (Mathematics)
  • Probability
  • Probability Distributions
  • Statistical Samples
  • Statistics

Fields of Study

  • Mathematics

Readers

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  • Gender and Food Studies
  • Mathematical Modeling and Probability Theory.