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161.304 Statistical Modelling (15 credits)
IMPORTANT NOTE:There have been changes to this course for 2022. For 2021 enrolments please check the individual offering description below to confirm details for:
- Expected prior learning
- Learning outcomes
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This course covers the ideas underlying statistical modelling, its implementation through computational methods, and links to practical applications. Topics include probability and random variables, models for discrete and continuous data, model selection, model fitting and goodness of fit, model inference, and introduction to stochastic processes.
Note(s): Access to a computer with an approved statistics package is required for analysis of data.
(160.101 or 160.102 or 160.105) and (161.122 or 161.250 or 161.251 or 161.220 or 161.221)
General Prerequisite: At least 45 credits from 200 level.
|2021 *||Semester Two full semester||Distance|
|2021 *||Semester Two full semester||Internal||Manawatu Campus|
|2022||Semester Two full semester||Distance|
|2022||Semester Two full semester||Internal||Manawatu Campus|
* Due to recent changes you should carefully check this offering to confirm details before you enrol.
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