The University of Newcastle, Australia
Available in 2019

Course handbook

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).


Availability2019 Course Timetables

Callaghan

  • Semester 1 - 2019

Learning outcomes

On successful completion of the course students will be able to:

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

STAT3010Statistical InferenceWhy 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).FSCITFaculty of Science724School of Mathematical and Physical Sciences1030005940Semester 1 - 2019CALLAGHANCallaghan2019STAT2010 - Fundamentals of Statistics, Introductory Calculus Estimation methods Hypothesis Testing Evaluating tests Monte Carlo Simulation methods for inference Randomisation tests Bootstrap methods. YOn successful completion of this course, students will be able to:1Understand the basic concepts underlying estimation theory and hypothesis testing;2Explain the underlying assumptions and the applicability of each of the approaches studied;3Determine appropriate methods for practical inference problems and apply such methods to data. Written Assignment: Assignment (x3)Formal Examination: Examination CallaghanComputer LabFace to Face On Campus2hour(s)per Week for0Full Term0LectureFace to Face On Campus2hour(s)per Week for0Full Term0


Assessment items

Written Assignment: Assignment (x3)

Formal Examination: Examination


Contact hours

Callaghan

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