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Journal of Applied Statistics Volume 49, 2022 - Issue 3
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Articles

Survival analysis for the inverse Gaussian distribution with the Gibbs sampler

Kalanka. P. JayalathDepartment of Mathematics and Statistics, University of Houston – Clear Lake, Houston, TX, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-9902-1749
ORCID Icon &
Raj S. ChhikaraDepartment of Mathematics and Statistics, University of Houston – Clear Lake, Houston, TX, USA
Pages 656-675 | Received 09 Jan 2020, Accepted 19 Sep 2020, Published online: 03 Oct 2020

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Baocai Guo, Qiming Xia, Yingying Sun & Muhammad Aslam. (2023) Generalized confidence intervals of quantile-based process capability indices for inverse Gaussian distribution. Quality Technology & Quantitative Management 20:3, pages 405-417.
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Articles from other publishers (3)

Tzong-Ru Tsai, Hua Xin, Ya-Yen Fan & Yuhlong Lio. (2022) Bias-Corrected Maximum Likelihood Estimation and Bayesian Inference for the Process Performance Index Using Inverse Gaussian Distribution. Stats 5:4, pages 1079-1096.
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Wasana Chankham, Sa-Aat Niwitpong & Suparat Niwitpong. (2022) Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distribution. PeerJ 10, pages e12988.
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Kalanka P. Jayalath. (2021) Fiducial Inference on the Right Censored Birnbaum–Saunders Data via Gibbs Sampler. Stats 4:2, pages 385-399.
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