Abstract
Consider the bivariate exponential distribution due to Marshall and Olkin [2], whose survival function is\(\bar F(x,y) = \exp [ - \lambda _1 x - \lambda _{2y} - \lambda _{12} \max (x,y)](x \geqslant 0,y \geqslant 0)\) with unknown parameters λ1 > 0, λ2 > 0 and λ12 ≥ 0. Based on grouped data, a new estimator for λ1, λ2 and λ12 is derived and its asymptotic properties are discussed. Besides, some test procedures of equal marginals and independence are given. A simulation result is given, too.
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References
Cheng, K. F. and Chen, C. H., Estimation of the Weibull parameters with grouped data,Commu. Statist. Theory Methods,17:2 (1988), 325–341.
Marshall, A. W. and Olkin, I., A multivariate exponential distribution,J. Amer. Statist. Assoc,62:1 (1967), 30–44.
Rao, C. R., Linear Statistical Inference and Its Applications, 2nd Edition, John Wiley, New York, 1973.
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Supported by the Jiangsu Provincial Natural Science Foundation.
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Cinan, Y. Statistical inference for a bivariate exponential distribution based on grouped data. Appl. Math. 11, 285–294 (1996). https://doi.org/10.1007/BF02664797
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DOI: https://doi.org/10.1007/BF02664797