Estimation of the Parameters in the Double-periodic Model
DOI:
https://doi.org/10.17713/ajs.v27i1&2.529Abstract
The periodic behavior of environmental conditions and its effects on waiting time is of principal interest in a number of modeling problems. Dimitrov and Khalil (1992) have used a constructive approach to introduce a new class of probability distributions which exhibits the periodic behavior of environmental conditions in time and the random occurrence of some events on each time period. Further, the authors discussed some physical and probabilistic properties of the new class. In a more recent work, Dimitrov et al. (1996) investigated a somewhat more complicated case of modeling the waiting time to occurrence of a random event governed by random environment with driving periodic or double periodic structure. In this contribution, we will make use of these important results to find estimators of the parameters in the double periodic model, where after a given number of time periods, say m, the conditions start to repeat, the same as from the origin. Phenomena of this type appear in a series of environmental, maintenance and financial processes. In particular, we expect that investigators working in modelingenvironmental evolution with periodic behavior will find our new results useful.
References
R. Barlow and F. Proschan. Statistical theory of reliability and life testing. 2nd ed., Holt Rinehart and Wilson, 1991.
B. Dimitrov and Z. Khalil. A new class of probability distributions for modelling environmental evolution with periodic behavior. Environmetrics, 3(4):447-464, 1992.
B. Dimitrov, Z. Khalil, and M.A. El-Saidi. On probability distributions with accumulating failure rates in periodic random environment. Environmetrics, 7(4):17-26, 1996.
R.V. Hogg and A.T. Craig. Introduction to Mathematical Statistics. 5th ed., Prentice Hall, 1995.
Downloads
Published
Issue
Section
License
The Austrian Journal of Statistics publish open access articles under the terms of the Creative Commons Attribution (CC BY) License.
The Creative Commons Attribution License (CC-BY) allows users to copy, distribute and transmit an article, adapt the article and make commercial use of the article. The CC BY license permits commercial and non-commercial re-use of an open access article, as long as the author is properly attributed.
Copyright on any research article published by the Austrian Journal of Statistics is retained by the author(s). Authors grant the Austrian Journal of Statistics a license to publish the article and identify itself as the original publisher. Authors also grant any third party the right to use the article freely as long as its original authors, citation details and publisher are identified.
Manuscripts should be unpublished and not be under consideration for publication elsewhere. By submitting an article, the author(s) certify that the article is their original work, that they have the right to submit the article for publication, and that they can grant the above license.