New closed-form estimators for weighted Lindley distribution

Author:

Kim Hyoung-MoonORCID,Jang Yu-Hyeong

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Reference23 articles.

1. Altun, E., & Ozel, G. (2015). Wind speed analysis with the upper truncated quasi Lindley distribution. Journal of Statistical and Econometric Methods, 4, 17–39.

2. Arslan, T., Acitas, S., & Senoglu, B. (2017). Generalized Lindley and Power Lindley distributions for modeling the wind speed data. Energy Conversion and Management, 152, 300–311.

3. Bader, M.G., & Priest, A. M. (1982). Statistical aspects of fibre and bundle strength in hybrid composites. T. In Hayashi, K. Kawata, S. Umekawa, (Eds.), Progress in Science and Engineering Composites: Proceedings of the Fourth International Conference on Composite Materials, ICCM-IV. Tokyo: Japan Society for Composite Materials.

4. Bouchahed, L., & Zeghdoudi, H. (2018). A new and unified approach in generalizing the Lindley’s distribution with applications. Statistics in Transition, 19, 61–74.

5. Cordeiro, G. M., & Klein, R. (1994). Bias correction in ARMA models. Statistics and Probability Letters, 19, 169–176.

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