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Evaluation of three methods for estimating the Weibull distribution parameters of Chinese pine (Pinus tabulaeformis )

Author

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  • Y. Lei

    (Research Institute of Resource Information and Techniques, Chinese Academy of Forestry, Beijing, China)

Abstract

Weibull distribution was used to fit tree diameter data collected from 86 sample plots located in Chinese pine stand in Beijing. To estimate the Weibull distribution parameters, three methods [namely maximum likelihood estimation method (MLE), method of moment (MOM) and least-squares regression method (LSM)] were compared and evaluated on the basis of the mean square error (MSE) and sample size. For these sample plots, the moment method was superior for estimating the parameters of Weibull distribution for tree diameter distribution.

Suggested Citation

  • Y. Lei, 2008. "Evaluation of three methods for estimating the Weibull distribution parameters of Chinese pine (Pinus tabulaeformis )," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 54(12), pages 566-571.
    • Handle: RePEc:caa:jnljfs:v:54:y:2008:i:12:id:68-2008-jfs
    DOI: 10.17221/68/2008-JFS
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    Cited by:

    1. Vincent Ang, 2015. "Financial interaction analysis using best-fitted probability distribution," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39, Bank for International Settlements.
    2. León-Vargas, Fabian & García-Jaramillo, Maira & Krejci, Edwing, 2019. "Pre-feasibility of wind and solar systems for residential self-sufficiency in four urban locations of Colombia: Implication of new incentives included in Law 1715," Renewable Energy, Elsevier, vol. 130(C), pages 1082-1091.
    3. Rigoberto Real-Miranda & José Daniel López-Barrientos, 2022. "A Geologic-Actuarial Approach for Insuring the Extraction Tasks of Non-Renewable Resources by One and Two Agents," Mathematics, MDPI, vol. 10(13), pages 1-19, June.
    4. X. Zhang & Y. Lei, 2010. "A linkage among whole-stand model, individual-tree model and diameter-distribution model," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 56(12), pages 600-608.
    5. H. M. Barakat & E. M. Nigm & O. M. Khaled & H. A. Alaswed, 2018. "The estimations under power normalization for the tail index, with comparison," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(3), pages 431-454, July.

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