Characterizations based on higher order and partial moments of inactivity time

Characterizations based on higher order and partial moments of inactivity time Due to the important role in theory of reliability, forensic science, study of risk analysis, actuarial science, survival analysis, and many other areas of applied probability, the study of inactivity time and its higher order and partial moments has received considerable attention from many authors. In the present paper we give some further insight on the subject. We provide characterization of some continuous distributions based on higher order moments of inactivity time. It is shown that the distribution function can be obtained uniquely through the higher order moments of inactivity time. Furthermore, we study some characterizations based on partial moments of the inactivity time. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistical Papers Springer Journals

Characterizations based on higher order and partial moments of inactivity time

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2015 by Springer-Verlag Berlin Heidelberg
Subject
Statistics; Statistics for Business/Economics/Mathematical Finance/Insurance; Probability Theory and Stochastic Processes; Economic Theory/Quantitative Economics/Mathematical Methods; Operations Research/Decision Theory
ISSN
0932-5026
eISSN
1613-9798
D.O.I.
10.1007/s00362-015-0714-y
Publisher site
See Article on Publisher Site

References

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