Statistical Inference

Description

Why do we use particular statistical techniques, and how do they work? This course covers the theory behind both standard and computationally intensive techniques for investigating and modelling data (estimation and hypothesis testing).

Availability

Callaghan Campus

  • Semester 1 - 2015

Learning Outcomes

1. Understand the basic concepts underlying estimation theory and hypothesis testing;

2. Explain the underlying assumptions and the applicability of each of the approaches studied;

3. Determine appropriate methods for practical inference problems and apply such methods to data.

Content

  • Estimation methods
  • Hypothesis Testing
  • Evaluating tests
  • Monte Carlo Simulation methods for inference
  • Randomisation tests
  • Bootstrap methods.

Assumed Knowledge

STAT2010 - Fundamentals of Statistics, Introductory Calculus

Assessment Items

Written Assignment: Assignment (x3)

Formal Examination: Examination

Contact Hours

Computer Lab

Face to Face On Campus 2 hour(s) per Week for Full Term

Lecture

Face to Face On Campus 2 hour(s) per Week for Full Term