Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-23T05:39:52.968Z Has data issue: false hasContentIssue false

A new family of life distributions

Published online by Cambridge University Press:  14 July 2016

Z.W. Birnbaum
Affiliation:
University of Washington
S.C. Saunders
Affiliation:
Boeing Scientific Research Laboratories, Seattle

Summary

A new two parameter family of life length distributions is presented which is derived from a model for fatigue. This derivation follows from considerations of renewal theory for the number of cycles needed to force a fatigue crack extension to exceed a critical value. Some closure properties of this family are given and some comparisons made with other families such as the lognormal which have been previously used in fatigue studies.

Type
Research Papers
Copyright
Copyright © Sheffield: Applied Probability Trust 

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] Barlow, Richard E. and Proschan, Frank (1965) Mathematical Theory of Reliability. John Wiley and Sons, New York.Google Scholar
[2] Birnbaum, Z. W., Esary, J. D. and Marshall, A. W. (1966) Stochastic characterization of wear-out for components and systems. Ann. Math. Statist. 37, 816825.Google Scholar
[3] Birnbaum, Z. W. and Saunders, S. C. (1968) A probabilistic interpretation of Miner's rule. SIAM J. Appl. Math. 16, 637652.CrossRefGoogle Scholar
[4] Birnbaum, Z. W. and Saunders, S. C. (1958) A statistical model for life length of material. J. Amer. Statist. Assoc. 53, 151160.CrossRefGoogle Scholar
[5] CraméR, H. (1951) Mathematical Methods of Statistics. Princeton University Press.Google Scholar
[6] Feller, W. (1966) An Introduction to Probability Theory and its Applications II. John Wiley and Sons, New York.Google Scholar
[7] Freudenthal, A. M. and Shinozuka, M. (1961) Structural safety under conditions of ultimate load-failure and fatigue. WADD Technical Report 6177.Google Scholar
[8] Gumbel, E. J. (1958) Statistics of Extremes. Columbia University Press, New York.Google Scholar
[9] Parzen, E. (1967) On models for the probability of fatigue failure of a structure. Time Series Analysis Papers , 532548, Holden Day, San Francisco.Google Scholar