STAT3001

STAT3001: Statistical Modelling

Student reviews for STAT3001 at Curtin University. See ratings, workload, grades, and honest feedback from Curtin students.

View in Curtin Handbook

STAT3001 student reviews

No reviews of STAT3001 yet. Be the first: the workload it really took, how it was assessed, and whether you would take it again.

Which units require STAT3001?

No other unit in the catalogue lists STAT3001 as a prerequisite, so it is not a gateway to anything further.

What is STAT3001 about?

This unit will introduce students to different aspects of statistical modelling, estimation, and inference. Generalized linear modelling (GLM) extends Normal linear model theory to encompass distributions from the exponential family of distributions, including binomial (logistic regression) and Poisson distributions (loglinear models). Analysis of GLMs will also include formulation, estimation, model selection, diagnostic-checking, and evaluation of predictive ability. GLM will be extended to include extreme value theory and distributions. In time series analysis, the focus shifts to the analysis of data collected or observed sequentially in time. Students will be introduced to the modelling of different types of time series using autoregressive integrated moving average (ARIMA) models. Topics to be covered include exploratory data analysis, identification of ARIMA models, estimation, diagnostic checking, and forecasting.

Quick tips

One-line things worth knowing. No full review required.

Be the first. One line on the assessments, the pace, or what to start early.

Unit details

Credits25

Contact Hours4 Weekly

Result TypeGrade/Mark

AreaSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS) (1153)

Field of Education010103 Statistics

Handbook View Official Handbook Page →

How this unit is taught

Lecture1 x 2 hours weekly
Tutorial1 x 1 hour weekly
Laboratory1 x 1 hour weekly

Prerequisites

Prerequisites group 1Select One

STAT2001Mathematical Statistics

Prerequisites group 2Select One

STAT1006Regression and Nonparametric Inference
STAT1000Regression and non-Parametric Inference