Moment Generating Functions of Complementary Exponential-Geometric Distribution Based on k-th Lower Record Values
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May 1, 2018
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Devendra Kumar
Central University Haryana, Mahendergarh, India
Sanku Dey
King Abdulaziz University, Jeddah, Saudi Arabia
Mansoor Rashid Malik
Amity University, Noida, India
Fahad M. Al-Aboud
King Abdulaziz University, Jeddah, Saudi Arabia
Abstract
The complementary exponential-geometric (CEG) distribution is a useful model for analyzing lifetime data. For this distribution, some recurrence relations satisfied by marginal and joint moment generating functions of k-th lower record values were established. They enable the computation of the means, variances, and covariances of k-th lower record values for all sample sizes in a simple and efficient recursive manner. Means, variances, and covariances of lower record values were tabulated from samples of sizes up to 10 for various values of the parameters.
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