MATH 349(b) Statistical Decision Theory Note
- Faculty
- Mathematics
- Last listed
- 1974–75
No longer offered. It’s in Waterloo’s scanned calendars from 1974–75 to 1974–75 (before that, 1972–73 to 1973–74 used the number for Applied Statistical Analysis); the 1995–96 to 2023–24 calendars are on ucalendar.
The decision problem; utilities and subjective probabilities; decision rules; decision trees, normal and extensive analyses; conjugate prior distributions and associated distribution theory; applications to business decisions. Loss functions, risk functions, admissability, minimax rules, tests of hypotheses. An introduction to statistical quality control and control charts. 3 hours lectures, Winter term Prerequisites: M223, M233, or M243; M217 or M237 M349 (a) is not a prerequisite for M349 (b). M349 and M338 may not both be taken for credit
As printed in the 1974–75 calendar, read by OCR; the scanned page is the original.
Check it elsewhere
In the scanned calendars
How it read in each calendar from 1972–73 to 1974–75, newest first. The text is OCR of the scanned pages; years whose wording matches are shown once, from the clearest scan. Each year links to its page on uwloo and to that page of the scanned PDF.
1974–75 1 calendar
The decision problem; utilities and subjective probabilities; decision rules; decision trees, normal and extensive analyses; conjugate prior distributions and associated distribution theory; applications to business decisions. Loss functions, risk functions, admissability, minimax rules, tests of hypotheses. An introduction to statistical quality control and control charts. 3 hours lectures, Winter term Prerequisites: M223, M233, or M243; M217 or M237
M349 (a) is not a prerequisite for M349 (b). M349 and M338 may not both be taken for credit
1972–73 to 1973–74 2 calendars
Another title: Applied Statistical Analysis, probably a different course under the same number (or a misread scan).
Review of Normal, t, Chi-squared and F distributions and their applications. Introduction to the design of experiments and surveys. Analysis of variance. Multiple regression. 3 hours lectures, Winter term. Prerequisite: 233 or 243