New Approximate Bayesian Confidence Intervals for the Shape and theScale Parameters of the Two Parameter Gamma Distribution

Journal of Biometrics & Biostatistics

article

Vincent AR Camara¹ 

[1] Research Center for Bayesian Applications, Inc.

关键词: Estimation;    Loss function;    Confidence interval;    Central limit theorem;    Statistical analysis;   

DOI  :  10.4172/2155-6180.1000315

来源: Hilaris Publisher

【 摘 要 】

The aim of the present study is to construct confidence intervals for the shape and the scale parameters of the twoparameter Gamma Distribution. Using the square error loss function, closed form approximate Bayesian confidence intervals are derived. Numerical results show that the obtained Approximate Bayesian models rely only on the observations under study and have great coverage accuracy.

【 授权许可】

Unknown