Bayesian prediction of temperature records using the Pareto model
By Mohamed T. Madi, Mohammad Z. Raqab. 2004
55 citations recorded by the source corpus.
Subfields: Finance, Global and Planetary Change, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d3ee3043e3d94c655bdc13d100ebb786d2d99a1a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Mohammad Z. Raqab
- Jafar Ahmadi
- É. Marchand
- Mohammad Jafari Jozani
- Mohamed T. Madi
- Ahmad Parsian
- Ayman Baklizi
In Global and Planetary Change
- Mohamed T. Madi
- Mohammad Z. Raqab
- Debasis Kundu
- Rameshwar D. Gupta
- Narayanaswamy Balakrishnan
- Miroslav M. Ristic
In Statistics and Probability
- Jafar Ahmadi
- Mohammad Jafari Jozani
- É. Marchand
- Ahmad Parsian
- Mohamed T. Madi
- Mohammad Z. Raqab
- Debasis Kundu
- Narayanaswamy Balakrishnan
Citations in the corpus
- Prediction of k-records from a general class of distributions under balanced type loss functions (2009, background): “The problem of prediction of future usual (k=1) records based on observed record data has been extensively studied by several statisticians in view of classical and Bayesian framework, see Ahsanullah (1980), Awad and Raqab (2000), Dunsmore (1983), Ali Mousa et al. (2002), Jaheen (2003, 2004), Madi ”
- Bayesian prediction of rainfall records using the generalized exponential distribution (2007, methodology): “Madi and Raqab (2004) used a Bayesian approach to establish future predictors for the Pareto model.”
- Statistical inference based on record data from Pareto model (2007, unknown): “[9–11, 14, 18–21] among others).”