Area: | Department of Mathematics and Statistics |
---|---|
Credits: | 25.0 |
Contact Hours: | 4.0 |
** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** | |
Lecture: | 1 x 3 Hours Weekly |
Tutorial: | 1 x 1 Hours Weekly |
Prerequisite(s): |
310534 (v.1)
Statistical Data Analysis 502
or any previous version
|
Syllabus: | Probability theory: special univariate distributions; multivariate, marginal and conditional distributions. Introduction to stochastic processes, Markov chain, expectation and generating functions, functions of random variables and derived distributions,random sums, convergence of random sequence, sampling distributions, basic methods of estimation; maximum liklelihood estimation (MLE) and multiple model estimation (MME), unbiased, and consistency. Introduction to decision theory, Minimax and Bayes approach, structure of Bayes and Minimax rules, complete class of rules, point and interval estimations as a decision problem, and hypothesis testing as a decision problem. |
** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** | |
Field of Education: | 010103 Statistics |
SOLT (Online) Definitions*: | Informational *Extent to which this unit or thesis utilises online information |
Result Type: | Grade/Mark |
Year | Location | Period | Internal | Partially Online Internal | Area External | Central External | Fully Online |
---|---|---|---|---|---|---|---|
2008 | Bentley Campus | Semester 1 | Y | ||||
2008 | Bentley Campus | Semester 2 | Y |
Area External refers to external course/units run by the School or Department or offered by research.
Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area
Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External