This dissertation discusses models for 3-dimensional orientations. A new Uniform-Axis-

Random-Spin (UARS) family is developed and the corresponding Bayes inferences for all UARS

distributions are studied. The effectiveness of one-sample non-informative Bayes methods are

demonstrated which indicates the broad use in material science. Then an R package has been

developed which is useful for practical modelers.