Bayes estimation based on k-record data from a general class of distributions under balanced type loss functions

By Jafar Ahmadi, Mohammad Jafari Jozani, É. Marchand, Ahmad Parsian. 2009

78 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/51851bf6af84578df2f7db6353230e926774a2ec

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In Statistics and Probability

Citations in the corpus

Bayesian and Robust Bayesian analysis under a general class of balanced loss functions (2012, background): “As well, similar developments are available for prediction problems (see Ahmadi et al., 2008b) With regards to the key issue of admissibility one can infer, of course, the admissibility of such δω,π’s when they are unique, the prior is proper and the Bayes risk is finite (see Berger, 1985). However,”
Estimation of parameters of Weibull–Gamma distribution based on progressively censored data (2018, unknown): “In (38), the choice ρ (θ, δ) = (δ − θ)2 leads to balanced squared error loss (BSEL) function, see Ahmadi et al. (2009), in the form Lω,δ0 (θ, δ) = ω (δ − δ0)2 + (1 − ω) (δ − θ)2 , (39) and the corresponding Bayes estimate of the unknown parameter θ under balanced squared error loss (BSEL) is given…”
Bayesian estimation based on progressive Type-II censoring from two-parameter bathtub-shaped lifetime model: an Markov chain Monte Carlo approach (2014, unknown): “[2], in the form Lω,δ0(θ , δ) = ω(δ − δ0)(2) + (1 − ω)(δ − θ)(2), (32)”
E-Bayesian estimation for the Lomax distribution based on type-II censored data (2014, unknown): “[1], in the form Lx;d0ðKðaÞ; dÞ 1⁄4 xðd d0Þ 2 þ ð1 xÞqðd KðaÞÞ(2); ð6Þ and the corresponding Bayes estimate of the function KðaÞ is given by dx;K;d0ðxÞ 1⁄4 xd0 þ ð1 xÞEðKðaÞjxÞ: ð7Þ In this article, we consider type-II censored data from a twoparameter Lomax distribution.”