21 research outputs found
Bayesian Analysis of a Scale Parameter of a New Class of Generalized Inverse Weibull Distribution Using Different Loss Functions
Get PDFIn this paper, we propose to obtain the Bayesian estimators of unknown parameter of a three parameter gamma inverse Weibull distribution, based on non-informative and informative priors using different loss functions. A real life example has been used to compare the performance of the estimates under different loss function
Bayesian estimation of the scale parameter and survival function of weighted weibull distribution under different loss functions using r software
Get PDFIn this paper, we propose to obtain the Bayesian estimators of the scale parameter of a three parameter weighted weibull distribution, based on non-informative and informative priors using Entropy loss function and Quadratic loss function. The risk functions of these estimators have been studied. A real life example has been used to compare the performance of the estimates under different loss functions. Keywords: Weighted Weibull distribution, Jeffery’s prior and Gamma prior, loss functions
Characterization and Bayesian Estimation of Generalized Standard Inverted Exponential Distribution
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Preference of Priors for the Generalized Inverse Rayleigh distribution under Different Loss Functions
No full textOn Weighted Ailamujia Distribution and Its Applications to Lifetime Data
Get PDFThis paper deals with the introduction of generalized version of Ailamujia distribution called weighted Ailamujia distribution. In this paper, the different structural properties of the newly developed model have been studied and derived. The parameters of the proposed distribution have been estimated through the maximum likelihood technique and method of moments. Further, a likelihood ratio test of the weighted model has been obtained. In addition to this, the model under study has also been applied to the real life data sets for illustration
Bayesian Approximation Techniques of Inverse Exponential Distribution with Applications in Engineering
No full textLindley Approximation Technique for the Parameters of Lomax Distribution
Get PDFThe present study is concerned with the estimation of shape and scale parameter of Lomax distribution using Bayesian approximation techniques (Lindley’s Approximation). Different priors viz gamma, exponential and Levy priors are used to obtain the Bayes estimates of parameters of Lomax distributions under Lindley approximation technique. For comparing the efficiency of the obtained results a simulation study is carried out using R-software
