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Scandinavian Journal of Forest Research Volume 37, 2022 - Issue 1
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Articles

Bayesian inference for Johnson's SB and Weibull distributions

Mahdi Teimouria Department of Statistics, Faculty of Science and Engineering, Gonbad Kavous University, Gonbad Kavous, IranCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-5371-9364View further author information
ORCID Icon &
Rafał Podlaskib Department of Environmental Biology, Institute of Biology, Jan Kochanowski University, Kielce, PolandView further author information
Pages 74-82 | Received 14 Jul 2020, Accepted 06 Nov 2021, Published online: 06 Dec 2021

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Wenhui Wu, Bing Xing Wang, Xuanxuan Xu & Qingyuan Guan. (2023) Inference for the Johnson S distribution. Communications in Statistics - Simulation and Computation 0:0, pages 1-20.
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Articles from other publishers (3)

Liyang Xie, Ningxiang Wu & Xiaoyu Yang. (2022) A Minimum Discrepancy Method for Weibull Distribution Parameter Estimation. International Journal of Structural Stability and Dynamics 23:08.
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Z Bončina, V Trifković, C Rosset & M Klopčič. (2022) Evaluation of estimation methods for fitting the three-parameter Weibull distribution to European beech forests. iForest - Biogeosciences and Forestry 15:6, pages 484-490.
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Bertrand Festus Nero & Justice Opoku. (2022) Topography alters stand structure, carbon stocks and understorey species composition of Cedrela odorata plantation, in a semi-deciduous forest zone, Ghana. Trees, Forests and People 10, pages 100352.
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