Bayes+-+Concepts

{Concept} (Concepts) (GWU EMSE-271)
Index | Topics (Logical Lectures) | Lectures | Problems | Readings | Nomenclature | Concepts

EMSE 271, Fall 2009 Bayes emphasis was using Bayes in a spreadsheet from to solve a Quality Control Problem; however, it is not clear if the following questions would be within the scope of the reivew and legitmate questions.

1. What is Bayesian statistics and how is it different from classical statistics? 2. What is a Bayesian point estimate? interval estimate? 3. What is and how do we use - a. The prior distribution? - b. The predictive distribution? - c. The posterior distribution? - d. The Posterior Predictive distribution?

4. (Other EMSE 280 Bayesian/Bayesian Inference Concepts Questions) ==> Not a bad Bayesian Statistics summary at the start of this page.

5. From a test caluclating perspective, one would predict a problem using Excel to solve a Bayes-type problem.
 * See Homework 1 - Problem 2, Quality Control Problem (using Bayes to Solve).
 * Lecture notes (Session 1, Slides 22-25 show how to set up the tables in excel.
 * Homework 1 has some words on how to think about the problem and set up Table 1.
 * Homework 1 also has another sample solution with a 4x4 table.

n. Problems to solve