Abstract
We present the case that the ideas contained in a particular sequence of formulas are important in probability and statistics. The synthesis offered by the concepts in the sequence can be very valuable. Facility with this sequence and its underpinnings should be in the skill set of anyone who uses or studies probability or statistics. For illustrative purposes, we give applications to mixture distributions and Bayesian analyses.
Publication Date
12-2017
Document Type
Article
Department, Program, or Center
School of Mathematical Sciences (COS)
Recommended Citation
Farnsworth, David L. and Marengo, James E., "Probability Models and Compounding" (2017). The Mathematical Scientist, 42 (3), 117-122. Accessed from
https://repository.rit.edu/article/2121
Campus
RIT – Main Campus
