1 The Bayes linear approach.

2 Expectation.

3 Adjusting beliefs.

4 The observed adjustment.

5 Partial Bayes linear analysis.

6 Exchangeable beliefs.

7 Co-exchangeable beliefs.

8 Learning about population variances.

9 Belief comparison.

10 Bayes linear graphical models.

11 Matrix algebra for implementing the theory.

12 Implementing Bayes linear statistics.

A Notation.

B Index of examples.

C Software for Bayes linear computation.

C.1 [B/D].

C.2 BAYES-LIN.

References.

Index.