Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-28T20:09:39.070Z Has data issue: false hasContentIssue false
  • English
  • Français

The Application of the Chi-Square Test of Goodness-of-Fit to Mortality Data Graduated by Summation Formulae

Published online by Cambridge University Press:  18 August 2016

J. H. Pollard
Get access Rights & Permissions [Opens in a new window]

Extract

In his paper of 1941, Seal included details of some experiments he performed in an attempt to estimate the appropriate number of degrees of freedom for the chi-square goodness-of-fit test of a summation formula graduation. These results are referred to by Tetley and by Benjamin and Haycocks in their textbooks when they mention the difficulty of determining the number of degrees of freedom or mean chi-square value.

Type
Research Article
Information
Journal of the Institute of Actuaries , Volume 97 , Issue 2-3 , December 1971 , pp. 325 - 330
Copyright
Copyright © Institute and Faculty of Actuaries

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

(1) Benjamin, B. and Haycocks, H. W. The Analysis of Mortality and Other Actuarial Statistics. Cambridge University Press, Cambridge, 1970.Google Scholar
(2) Hammersley, J. M. and Handscomb, D. C. Monte Carlo Methods. 1964.CrossRefGoogle Scholar
(3) Seal, H. L. Tests of a mortality table graduation. J.I.A. 71, 5.Google Scholar
(4) Tetley, H. Actuarial Statistics, I, 212. Cambridge University Press, Cambridge, 1964.Google Scholar