go to UNSW home page
UNSW logo School of Mathematics Home Page

Contacts | Sitemap
  
UNSW
Faculty of Science
School of Mathematics and Statistics
Current Students
 
Undergraduate
  Course Homepages
   First Year Semester 1
   First Year Semester 2
   First Year Summer Semester
   Second Year Semester 1
   Second Year Semester 2
   Upper Year Semester 1
   Upper Year Semester 2
   General Studies Courses
  Help for Students
  Assessment Policies
  Exam Information
  Scholarships & Awards
  Programs & Courses
  Honours
  Computing Information
  Timetables
  Student Life
  Careers
Postgraduate Coursework
Postgraduate Research
Current Students> Undergraduate> Course Homepages> Upper Year Semester 2

MATH5905 Statistical Inference

MATH5905 is a Mathematics Level V course. See the Course Overview below.

Units of credit: 6

Prerequisites: Math2801 or Math2901 or equivalent

Cycle of offering: once each year

Graduate attributes: the course will enhance your research, inquiry and analytical thinking abilities.

More information: this recent course handout (pdf) contains information about course objectives, assessment, course materials and the syllabus.

The Online Handbook entry contains up-to-date timetabling information.

Course Overview

This course provides a theoretical foundation for statistical inference. The three main goals in inference (estimation, confidence set construction and hypothesis testing) are discussed in decision theoretic framework. Emphasis is put on frequentist and Bayesian approaches.

Parametric, nonparametric and robust procedures are compared and contrasted. Optimality of inference is discussed for fixed sample size and in asymptotic sense. Higher order asymptotic methods are also introduced. Computationally intensive procedures such as the bootstrap are illustrated theoretically and numerically. Many illustrative examples and practical applications will be discussed.


Quicklinks

My eLearning Vista
UNSW Blackboard
MyUNSW
Library