MATH5895 Non Parametric Statistics

MATH5895 is a Honours and Postgraduate Coursework Mathematics course. See the course overview below.

Units of credit: 6

Prerequisites: There are no prerequisites for this course. However, students are assumed to be acquainted with the basic principles of Probability and Statistics theory (random variables and their characteristics, estimators and their properties (bias, variance, consistency, asymptotic distribution, etc.), law of large numbers and central limit theorem, maximum likelihood methods, etc.). Moreover, they are expected to have basic knowledge of Real Analysis (functions and their properties, limits and series, differentials and integrals, Taylor expansions and function spaces).

Cycle of offering: Not offered every 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 information about the course. (The timetable is only up-to-date if the course is being offered this year.) 

If you are currently enrolled in MATH5895, you can log into UNSW Moodle for this course.

Course Overview

This course aims at introducing the "modern" nonparametric techniques in statistical analysis and the use of these techniques in a variety of disciplines. "Modern" nonparametric statistics essentially refer to the so-called smoothing procedures for curve estimation, in contrast to traditional nonparametric methods such as rank-based tests. The main idea of this course is to get students acquainted with the fundamentals, basic properties and use of the most important recent nonparametric techniques. Another aim is to familiarise students with research questions in this domain.