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Table 1 Posterior summary statistics of average body weight daily gain based on a single-parameter normal model

From: Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics

Sample set

Min

Q1

Median

Mean

Q3

Max

1

3.357

3.388

3.394

3.394

3.400

3.431

2

3.356

3.388

3.394

3.394

3.400

3.429

3

3.352

3.388

3.394

3.394

3.400

3.43

4

3.357

3.388

3.394

3.394

3.400

3.436

5

3.353

3.388

3.394

3.394

3.400

3.432

6

3.355

3.388

3.394

3.394

3.400

3.43

7

3.355

3.388

3.394

3.394

3.400

3.431

8

3.354

3.388

3.394

3.394

3.400

3.428

9

3.356

3.388

3.394

3.394

3.400

3.431

10

3.358

3.388

3.394

3.394

3.400

3.433

Pooled

3.352

3.388

3.394

3.394

3.400

3.436

  1. Min = minimum value; Q1 = first quartile; Q3 = third quartile; max = maximum value.
  2. The above results were obtained from parallel computing on ten CPU cores.