Prediction of k-records from a general class of distributions under balanced type loss functions
By Jafar Ahmadi, Mohammad Jafari Jozani, É. Marchand, Ahmad Parsian. 2009
49 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3d21279208c289a5b51dd5052b1af132bb88b7ef
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In Statistics and Probability
- Jafar Ahmadi
- Mohammad Jafari Jozani
- É. Marchand
- Ahmad Parsian
- Narayanaswamy Balakrishnan
- Debasis Kundu
- Gauss Moutinho Cordeiro
- Biswabrata Pradhan
Citations in the corpus
- Bayes estimation based on k-record data from a general class of distributions under balanced type loss functions (2009, methodology): “In this section we obtain Bayes estimators of γi(θ); i = 1, 2, 3, 4; based on observed k-record data generated from (4) with α(θ) = θ, using balanced SEL given in (3) with ρ(γ, δ) = (δ − γ)2 and equal to Lqω,δ0(γ(θ), δ) = ωq(θ)(δ − δ0) 2 + (1− ω)q(θ)(δ − γ(θ))(2).”
- Prediction of order statistics and record values from two independent sequences (2010, background): “Several authors have considered prediction problems involving record values and order statistics; see, for example 5–17 and the references therein.”
- Bayesian and Robust Bayesian analysis under a general class of balanced loss functions (2012, background): “Gómez-Déniz (2008) investigates the use of such balanced loss functions to credibility premiums, while Ahmadi et al. (2008a) studies them (as well as Balanced linex loss; see Example 5) for inference on k-records.”