Grain yield reliability analysis with crop water demand uncertainty
By A. Ganji, Kumaraswamy Ponnambalam, Davar Khalili, M. Karamouz. 2006
80 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Ocean Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c7524c857360df2337967fa901366c9e8ca567dc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Muhammad Shuaib Khan
- Fábio Mariano Bayer
- Irene Lena Hudson
- Robert A. R. King
- Pablo A. Mitnik
- D. M. Bayer
In Statistics and Probability
- Guilherme Pumi
- Fábio Mariano Bayer
- D. M. Bayer
- Su-Gi Baek
- Muhammad Shuaib Khan
- Irene Lena Hudson
- Robert A. R. King
- Pablo A. Mitnik
Citations in the corpus
- Kumaraswamy autoregressive moving average models for double bounded environmental data (2017, background): “This is also true in the Engineering literature, as, for instance, in Sundar and Subbiah (1989), Fletcher and Ponnambalam (1996), Seifi et al. (2000), Ponnambalam et al. (2001), Ganji et al. (2006), and Koutsoyiannis and Xanthopoulos (1989).”
- The Kumaraswamy distribution: median-dispersion re-parameterizations for regression modeling and simulation-based estimation (2012, background): “…rather sparingly in the modeling of stochastic phenomena and processes (for examples, see Courard-Hauri 2007; Fletcher and Ponnambalam 1996; Ganji et al 2006; Sanchez et al 2007; Seifi et al 2000; Sundar and Subbiah 1989) and, to the best of our knowledge, it has never been used for…”
- Transmuted Kumaraswamy Distribution (2016, background): “In hydrology and related areas, the Kw distribution has received considerable interest, see Cordeiro et al. (2010, 2012), Fletcher and Ponnambalam (1996), Ganji et al. (2006), Ponnambalam et al. (2001), Sundar and Subbiah (1989) and Seifi et al. (2000).”
- New Properties of the Kumaraswamy Distribution (2013, unknown): “The Kumaraswamy distribution was originally conceived to model hydrological phenomena (Kumaraswamy, 1980), and has been used for this but also for other purposes (for examples see Courard-Hauri, 2007; Fletcher and Ponnambalam, 1996; Ganji et al., 2006; Sanchez et al., 2007; Seifi et al., 2000; Sunda”