Abstract
In the present paper we derive a family of bivariate exponential distributions based on an extended lack of memory property of a class of univariate distributions. These bivariate exponential laws are time transformed exponential models possessing Archimedean copulas. The bivariate aging properties and various dependence relationships are characterized in terms of the univariate aging concepts of the baseline distributions from which the bivariate models are generated.
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Averous, J. and Dortet-Bernadit, J. (2005). Dependence of Archimedean copulas and ageing properties of their generators. Sankhya 66, 607–620.
Bassan, B. and Spizzichino, F. (2005). Relations among univariate ageing, bivariate ageing and dependence for exchangeable lifetimes. J. Multivariate Anal. 93, 313–339.
Bassan, B., Kochar, S.C. and Spizzichino, F. (2002). Some bivariate notions of IFR and DMRL and related properties. J. Appl. Probab. 39, 533–544.
Block, H.W. and Basu, A.P. (1974). A continuous bivariate exponential extension. J. Amer. Statist. Assoc. 69, 1031–1037.
Cowan, R. (1987). A bivariate exponential distribution arising in random geometry. Ann. Inst. Statist. Math. 39, 103–111.
Downton, F. (1970). Bivariate exponential distribution in reliability theory. J. R. Stat. Soc. 32, 408–417.
Durante, F., Foschi, R. and Spizzichino, F. (2010). Ageing functions and multivariate notions of NBU and IFR. Probab. Engrg. Inform. Sci. 24, 263–278.
Freund, J. (1961). A bivariate extension of exponential distribution. J. Amer. Statist. Assoc. 56, 971–977.
Friday, D.S. and Patil, G.P. (1977). A Bivariate Exponential Model with Applications to Reliability and Computer Generation of Random Variables. In Theory and Application of Reliability, (C.P. Tsokos and I.N. Shimi, eds.), vol. 1, pp. 527–549.
Gumbel, E.J. (1960). Bivariate exponential distributions. J. Amer. Statist. Assoc. 55, 698–707.
Hawkes, A.G. (1972). A bivariate exponential distribution with applications to reliability. J. R. Stat. Soc. 34, 129–131.
Hayakawa, Y. (1994). The construction of new bivariate exponential distributions from a Bayesian perspective. J. Amer. Statist. Assoc. 89, 1044–1049.
Iyer, S.K., Manjunath, D. and Manivasakan, R. (2002). Bivariate exponential distribution using linear structures. Sankhya 64, 156–166.
Johnson, N.L. and Kotz, S. (1975). A vector valued multivariate hazard rate. J. Multivariate Anal. 5, 53–66.
Kagan, A., Linnik, Y. and Rao, C.R. (1973). Characterization Problems in Mathematical Statistics. John Wiley, New York.
Marshall, A.W. and Olkin, I. (1967). A multivariate exponential distribution. J. Amer. Statist. Assoc. 62, 30–44.
Nagao, M. and Kadoya, M. (1971). Two-variate exponential distribution and its numerical table for engineering application. Disas. Prey. Res. Inst. 20, 183–215.
Nelsen, R.B. (2006). An Introduction to Copulas, 2nd edn. Springer-Verlag.
Paulson, A.S. (1974). A characterization of the exponential distribution and a bivariate exponential distribution. Sankhya 35, 69–78.
Pellerey, F. (2008). On univariate an bivariate ageing for dependent lifetimes with Archimedean copulas. Kybernetrika 44, 795–806.
Raftery, A.E. (1985). Some properties of a new continuous bivariate exponential distribution. Statist. Decisions 2, 53–58. Supplement.
Regoli, G. (2009). A class of bivariate exponential distributions. J. Multivariate Anal. 100, 1261–1269.
Ryu, K. (1993). An extension of the Marshall–Olkin’s bivariate exponential distribution. J. Amer. Statist. Assoc. 88, 1458–1465.
Sarkar, S.K. (1987). A continuous bivariate exponential distribution. J. Amer. Statist. Assoc. 82, 667–675.
Spizzichino, F. (2009). Concept of duality for multivariate survival models. Fuzzy Sets Syst. 160, 325–333.
Spizzichino, F. (2010). Semi Copulas and Interpretation of Coincidence Between Stochastic Dependence and Ageing, Copula Theory and its Applications. In Lecture Notes in Statistics, (P. Jawarski, F. Durante, W. Hardle and T. Rychlik, eds.), Vol. 198, pp. 237–254. Springer-Verlag.
Tosch, T.J. and Holmes, P.T. (1980). A bivariate failure model. J. Amer. Statist. Assoc. 75, 415–417.
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Unnikrishnan Nair, N., Sankaran, P.G. A family of bivariate exponential distributions and their copulas. Sankhya B 76, 1–18 (2014). https://doi.org/10.1007/s13571-013-0067-2
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DOI: https://doi.org/10.1007/s13571-013-0067-2