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Communications in Statistics - Theory and Methods Volume 31, 2002 - Issue 11
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Original Articles

THE LOG-EIG DISTRIBUTION: A NEW PROBABILITY MODEL FOR LIFETIME DATA

Sutaip L. C. Saw Nanyang Business School, Nanyang Technological University, Nanyang Avenue, 639798, Singapore
,
Uditha Balasooriya Department of Statistics and Applied Probability, National University of Singapore, Lower Kent Ridge Road, 119260, SingaporeCorrespondence[email protected]
&
Khye Chong Tan Nanyang Business School, Nanyang Technological University, Nanyang Avenue, 639798, Singapore
Pages 1913-1926 | Published online: 15 Feb 2007

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Read on this site (2)

M. E. Ghitany, D. K. Al-Mutairi & RameshC. Gupta. (2009) Reliability Studies of the Log-Exponential Inverse Gaussian Distribution. Communications in Statistics - Theory and Methods 38:19, pages 3532-3543.
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SutaipL. C. Saw & Jongsay Yong. (2008) Interval estimation for the exponential inverse Gaussian distribution. Journal of Statistical Computation and Simulation 78:4, pages 339-349.
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Articles from other publishers (3)

Akinlolu Olosunde & Sylvester Olofintuade. (2022) Some Inferential Problems from Log Student’s T-distribution and its Multivariate Extension. Revista Colombiana de Estadística 45:1, pages 209-229.
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Wanbo Lu, Haozhen Xu & Lingyu Zuo. (2016) Acceptance sampling plans based on truncated life tests for LOG-EIG distribution. Acceptance sampling plans based on truncated life tests for LOG-EIG distribution.
Honest Chipoyera. (2016) Optimal scheduling of inspection times in a production process with a finite planning horizon. Applied Stochastic Models in Business and Industry 32:6, pages 775-791.
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