Handbook 1996 : Faculty of Science (Volume 4 page 237)
Statistics subject : Next:619-230 | Prev:619-201 | Search | Help
619-202 "Theory of Statistics" appears differently in several places - choose the one you want:
1. Statistics, Faculty of Science (v4, p237) : Next:619-230 | Prev:619-201
Note: Special requirement: An electronic calculator of an approved type (refer to Department of Statistics Office)
Credit points: 16.5
Coordinator: AssocProf R K Watson
Prerequisite: Statistics 619-201.
Contact: 39 lectures (three a week) and 39 tutorial/practice class hours
Timetable: Second semester
Objectives:
Students completing this course shouldComprehend:
- the fundamental concepts of probability theory;
- the theory underlying statistical inference;
- the basic principles of experimental design;
- Have developed the skills:
- to use probability models and distribution theory in applications to standard situations;
- to carry out standard statistical analyses;
Appreciate:
- the breadth of application of probability and statistics;
- the importance of the underlying mathematical theory of statistics;
- the application of computer software in probability calculations, simulation and statistical analysis.
Content:
Elementary probability concepts; probability models; sequences of independent trials; regenerative phenomena; introduction to Markov chains and simple Markov processes; simulation methods; conditional distributions and conditional expectations; generating functions and applications including the central limit theorem. Estimation of parameters of probability distributions; desirable properties of estimators: consistency, unbiasedness and efficiency; maximum likelihood estimation; confidence intervals and hypothesis testing; likelihood ratio tests; an introduction to distribution-free methods; the theory and applications of the general linear model - with particular reference to regression problems including multiple and polynomial regression, the analysis of one-way and two-way classifications and the analysis of standard statistical experiments; the basic principles of experimental design.
Assessment:
Up to 3 hours end-of semester written examination; up to 50 pages of assignments may be assessed.
1. Statistics, Faculty of Science (v4, p237) : Next:619-230 | Prev:619-201
2. Economics, Faculty of Eco & Comm (v3, p196) : Next:316-201 | Prev:619-201
Note: Special requirement: An electronic calculator of an approved type (refer to Department of Statistics Office)
Credit points: 16.5
Coordinator: Assoc Prof R K Watson
Prerequisite: Statistics 619-201.
Contact: 39 lectures (three a week) and 39 tutorial/practice class hours
Timetable: Second semester
Objectives:
Students completing this course shouldComprehend:
- the fundamental concepts of probability theory;
- the theory underlying statistical inference;
- the basic principles of experimental design;
Have developed the skills:
- to use probability models and distribution theory in applications to standard situations;
- to carry out standard statistical analyses;
Appreciate:
- the breadth of application of probability and statistics;
- the importance of the underlying mathematical theory of statistics;
- the application of computer software in probability calculations, simulation and statistical analysis.
Content:
Elementary probability concepts; probability models; sequences of independent trials; regenerative phenomena; introduction to Markov chains and simple Markov processes; simulation methods; conditional distributions and conditional expectations; generating functions and applications including the central limit theorem. Estimation of parameters of probability distributions; desirable properties of estimators: consistency, unbiasedness and efficiency; maximum likelihood estimation; confidence intervals and hypothesis testing; likelihood ratio tests; an introduction to distribution-free methods; the theory and applications of the general linear model - with particular reference to regression problems including multiple and polynomial regression, the analysis of one-way and two-way classifications and the analysis of standard statistical experiments; the basic principles of experimental design.
Assessment:
Up to 3 hours end-of semester written examination; up to 50 pages of assignments may be assessed.
* Note that COORDINATOR, NOTE, OBJECTIVES differs from the maintainer's version above. A log of variations is available.
2. Economics, Faculty of Eco & Comm (v3, p196) : Next:316-201 | Prev:619-201
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: Dept. of Statistics, Faculty of Science.
Copyright © University of Melbourne 1995,1996.