Abstract
In the present paper, the problem of estimation of the exponential distribution of parameters is investigated.
In Sec. 1, the ordinary exponential distribution is considered, and the parameter λ is estimated by means of censored observations by the pseudomaximal likelihood method. It is shown that the estimator is asymptotically consistent and effective.
In Sec. 2, the problem of estimation of parameters of the truncated exponential distribution is considered using the maximal likelihood method. The existence and uniqueness of the solution corresponding to the likelihood equation are shown.
The practical application of the obtained results with the aid of computer realization is given. In particular, a sample of size n = 1000 is selected, which is distributed by the truncated exponential law. The sample mean \( \overline{x} \) = 1.3435 and the solution θ ∗ = 2.004 of the corresponding likelihood control are obtained.
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References
Faris M. Al-Athari, “Estimation of the mean of truncated exponential distribution,” J. Math. Stat., 4, No. 4, 284–288 (2008).
G. Kulldorf, Contribution to the Theory of Estimation from Grouped and Partially Grouped Samples, Wiley, New York (1962).
E.L. Lehmann, Theory of Point Estimation, Springer-Verlag, New York (1997).
E. Nadaraya, M. Patsatsia, and G. Sokhadze, “On the maximum pseudo-likelihood estimations of distribution parameters by grouped observations with censoring,” Proc. Sukhumi State Univ., 7, 33–43 (2009).
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Translated from Sovremennaya Matematika i Ee Prilozheniya (Contemporary Mathematics and Its Applications), Vol. 94, Proceedings of the International Conference “Lie Groups, Differential Equations, and Geometry,” June 10–22, 2013, Batumi, Georgia, Part 1, 2014.
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Lominashvili, G. On the Estimation of the Exponential Distribution of Parameters. J Math Sci 216, 569–576 (2016). https://doi.org/10.1007/s10958-016-2916-9
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DOI: https://doi.org/10.1007/s10958-016-2916-9