Bayesian Inference on the Variance of Normal Distribution Using Moving Extremes Ranked Set Sampling
Bayesian Inference on the Variance of Normal Distribution Using Moving Extremes Ranked Set Sampling
Bayesian inference of the variance of the normal distribution is considered using moving extremes ranked set sampling (MERSS) and is compared with the simple random sampling (SRS) method. Generalized maximum likelihood estimators (GMLE), confidence intervals (CI), and different testing hypotheses are considered using simple hypothesis versus simple hypothesis, simple hypothesis …