Abstract
In this paper, we develop a general multivariate new better than used (MNBU) distribution based on a multivariate common shock model. Assuming that the external shock process follows the generalized Pólya process and a shock can destroy each component with some given probability, the multivariate survival distribution is obtained. The dependence structure of the multivariate distribution is analyzed. The properties on the dependence order and the multivariate ageing are also studied. Finally, as a special case, we consider the distribution of the minimum random variable and briefly discuss its properties.
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References
Al-Hameed MS, Proschan F (1973) Nonstationary shock models. Stoch Process Appl 1:383–404
Asimit AV, Furman E, Vernic R (2010) On a multivariate Pareto distribution. Insur Math Econ 46:308–316
Aven T, Jensen U (1999) Stochastic models in reliability. Springer, New York
Aven T, Jensen U (2000) A general minimal repair model. J Appl Probab 37:187–197
Barlow RE, Proschan F (1975) Statistical theory of reliability and life testing: probability models. Holt, Rinehart and Winston, New York
Brindley EC, Thompson WA (1972) Dependence and ageing aspects of multivariate survival. J Am Stat Assoc 67:822–830
Buchanan WB, Singpurwalla ND (1977) Some stochastic characterizations of multivariate survival. In: Tsokos CP, Shimi IN (eds) The theory and applications of reliability. Academic Press, New York, pp 329–348
Cha JH (2014) Characterization of the generalized Pólya process and its applications. Adv Appl Probab 46:1148–1171
Cha JH, Badía FG (2017) Multivariate reliability modelling based on dependent dynamic shock models. Appl Math Modell 51:199–216
Cha JH, Finkelstein M (2009) On a terminating shock process with independent wear increments. J Appl Probab 46:353–362
Cha JH, Finkelstein M (2011) On new classes of extreme shock models and some generalizations. J Appl Probab 48:258–270
Cha JH, Finkelstein M (2015) A dynamic stress-strength model with stochastically decreasing strength. Metrika 78(7):807–827
Cha JH, Finkelstein M (2019) Is perfect repair always perfect?. TEST 29:90–104
Cha JH, Giorgio M (2016) On a class of multivariate counting processes. Adv Appl Probab 48:443–462
Cha JH, Mi J (2007) Study of a stochastic failure model in a random environment. J Appl Probab 44:151–163
Esary JD, Marshal AW, Proschan F (1973) Shock models and wear processes. Ann Probab 1:627–649
Fang L, Balakrishnan N (2018) Ordering properties of the smallest order statistics from generalized Birnbaum–Saunders models with associated random shocks. Metrika 81(1):19–35
Finkelstein M (2008) Failure rate modelling for reliability and risk. Springer, London
Gupta RC, Kirmani SNUA, Balakrishnan N (2013) On a class of generalized Marshall–Olkin bivariate distributions and some reliability characteristics. Probab Eng Inf Sci 27(2):261–275
Hanagal DD (1996) A multivariate Weibull distribution. Econ Qual Control 11:193–200
Huynh KT, Castro IT, Barros CB (2012) Modeling age-based maintenance strategies with minimal repairs for systems subject to competing failure modes due to degradation and shocks. Eur J Oper Res 218:140–151
Joe H (1997) Multivariate models and dependence concepts. Chapman & Hall/CRC, Boca Raton
Lee H, Cha JH (2018) A dynamic bivariate common shock model with cumulative effect and its actuarial application. Scand Actuar J 2018:890–906
Lee H, Cha JH (2019) On a multivariate IFR and positively dependent lifetime model induced by multiple shot-noise processes. Stat Pap. https://doi.org/10.1007/s00362-019-01099-7
Li X, Pellerey F (2011) Generalized Marshall–Olkin distributions and related bivariate aging properties. J Multivar Anal 102:1399–1409
Lu JC (1989) Weibull extension of the Freund and Marshall–Olkin bivariate exponential model. IEEE Trans Reliab 38:615–619
Mallor F, Santos J (2003) Reliability of systems subject to shocks with a stochastic dependence for the damages. TEST 12:427–444
Marshall AW, Olkin I (1967) A multivariate exponential distribution. J Am Stat Assoc 62:30–44
Mercier S, Pham HH (2016) A random shock model with mixed effect, including competing soft and sudden failures, and dependence. Methodol Comput Appl Probab 18:377–400
Mercier S, Pham HH (2017) A bivariate failure time model with random shocks and mixed effects. J Multivar Anal 153:33–51
Montoro-Cazorla D, Pérez-Ocón R (2012) Shock and wear degradating systems under three types of repair. Appl Math Comput 218:11727–11737
Montoro-Cazorla D, Pérez-Ocón R (2015) A shock and wear model with dependence between the interarrival failures. Appl Math Comput 259:339–352
Navarro J, Ruiz JM, Sandoval CJ (2007) Properties of coherent systems with dependent components. Commun Stat Theory Methods 36(1):175–191
Navarro J, Rychlik T (2007) Reliability and expectation bounds for coherent systems with exchangeable components. J Multivar Anal 98(1):102–113
Navarro J, del Águila Y, Sordo MA, Suárez-Llorens A (2014) Preservation of reliability classes under the formation of coherent systems. Appl Stoch Models Business Ind 30(4):444–454
Scherer M, Sloot H (2019) Exogenous shock models: analytical characterization and probabilistic construction. Metrika https://doi.org/10.1007/s00184-019-00715-8
Acknowledgements
The authors thank the reviewers for helpful comments and valuable suggestions, which have improved the presentation of this paper considerably. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2019R1A2B5B02069500). This work was also supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant Number: 2019R1A6A1A11051177).
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Lee, H., Cha, J.H. A general multivariate new better than used (MNBU) distribution and its properties. Metrika 84, 27–46 (2021). https://doi.org/10.1007/s00184-020-00773-3
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DOI: https://doi.org/10.1007/s00184-020-00773-3
Keywords
- Common shock model
- Generalized Pólya process
- Multivariate new better than used (MNBU) distribution
- Stochastic dependence
- Ageing property