[PDF] Top 20 Bayesian analysis of shape parameter of Lomax distribution using different loss functions

... the parameter of the Lomax distribution under the Jeffery’s and extended Jeffrey’s prior assuming three different loss ...the parameter - particular cases of which are Jeffrey’s ... See full document

... obtained using a non-focused ...the shape parameter in the Nakagami ...unknown parameter of inverse Rayleigh distribution using Squared error and Linex loss ... See full document

... and loss functions at different sample sizes. The analysis has been considered assuming the cases when shape parameter is known and when all parameters are unknown based on right ... See full document

... the shape parameter is known under Bayesian view ...survival analysis. Taking different non-informative and informative priors, Bayes estimates of the parameter of the mixture ... See full document

... error loss and LINEX loss functions, are derived in approximate forms by using Soland's ...between different estimators are made based on simulation study and a real record values ... See full document

... the distribution function on the parameter space which is called prior ...MLINEX loss functions of the scale parameter of Laplace ...the parameter of the exponential ...unknown ... See full document

... the loss distribution, to deal with data displaying large and positive skewness as well as a wide right ...tail. Bayesian computational techniques are used to estimate parameters and for implementing ... See full document

... a Lomax distribution. Use different sample of sizes (n), different hyperparameters (a, b, c, d) and three sets of parameter values (α, β) = ...and different Bayes estimators and ... See full document

... the shape and the robustness of the densities, even though the sample is small ( n = 10), but the robustness is quite noticeable for the plot with sample size n = ... See full document

... IL distribution to get Lorenz ordering relationship among ordered ...IL distribution has been applied on geophysical ...values using Bayesian approach under various loss ...in ... See full document

... the Bayesian analysis of stress-strength reliability R is studied using Lindley’s approximation under different loss functions such as squared error loss function (SELF), ... See full document

... The Lomax distribution also known as Pareto distribution of second kind has, in recent years, assumed opposition of importance in the field of life testing because of its uses to fit business failure ... See full document

... Survival analysis is used in various fields for analyzing data involving the duration between two ...history analysis, lifetime data analysis, reliability analysis or time to event ... See full document

... introduced different forms of cumulative distribution functions for modeling lifetime ...consider different aspects of Burr Type X and Burr Type XII distribution see for example Surles ... See full document

... posterior distribution used in our Bayesian ...loss functions. In section 4, we develop Bayes estimators under quadratic loss (QLF), squared log error loss (SLELF) and general ... See full document

... in Bayesian statistical inference. Squared error loss function is the most often used function in Bayesian ...have different effects on decision ...error loss function cannot work ... See full document

... X distribution, sampling and likelihood function for type I censored ...under different priors. The loss functions for the derivation of Bayes estimators and posterior risks have been ... See full document

... geometric distribution is studied by Shah and Patel (2006); Many of statisticians like Chin and Broemeling (1980), Calabria and Pulcini (1994), Zacks (1983), Pandaya and Jani (2006), Shah and Patel (2007, 2009), ... See full document

... ulation is recorded. These frequencies are then used to calculate the weighted average response in the source population, averaging across the mean responses for each inter- val of Y . This adjusted mean response is then ... See full document

... Abstract—The parameters of the two parameter exponential distribution are estimated in this article based on complete and Type-I censored samples from the Bayesian viewpoint. Bayes point estimates ... See full document