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ARTICLES

Objective Bayesian hypothesis testing and estimation for the intraclass model

ORCID Icon, , , & ORCID Icon
Pages 37-47 | Received 06 Nov 2017, Accepted 24 May 2018, Published online: 07 Jun 2018

Figures & data

Figure 1. The intrinsic discrepancy in (Equation8) as a function of for n=1, k=4 and .

Figure 1. The intrinsic discrepancy in (Equation8(8) ) as a function of for n=1, k=4 and .

Table 1. The MAE of the Bayesian estimators for ρ based on 10,000 replications in the simulation study.

Table 2. The MAE of the MLE for ρ based on 10,000 replications in the simulation study.

Table 3. The estimated tail probabilities of posterior distributions based on 10,000 replications in the simulation study.

Figure 2. Sampling distribution of under obtained from the 5000 simulations with for different sample sizes when testing .

Figure 2. Sampling distribution of under obtained from the 5000 simulations with for different sample sizes when testing .

Figure 3. Sampling distribution of under obtained from 5000 simulations with for different sample sizes when testing .

Figure 3. Sampling distribution of under obtained from 5000 simulations with for different sample sizes when testing .

Figure 4. The marginal posterior density for ρ based on two objective priors (left), and the intrinsic statistic with the non-rejection regions corresponding to the threshold values (right) for the orthodontic data in Frees (Citation2004): (a) marginal posterior distribution and (b) intrinsic statistic.

Figure 4. The marginal posterior density for ρ based on two objective priors (left), and the intrinsic statistic with the non-rejection regions corresponding to the threshold values (right) for the orthodontic data in Frees (Citation2004): (a) marginal posterior distribution and (b) intrinsic statistic.

Table 4. The orthodontic data from Frees (Citation2004).

Table 5. Estimations of ρ for the orthodontic data from Frees (Citation2004).

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