161705

Advanced Statistical Inference

Properties of estimators: unbiasedness, consistency, efficiency and sufficiency. Methods of estimation with particular emphasis given to the method of maximum likelihood. Hypothesis testing and interval estimation. Nonparametric tests. Computationally intensive methods such as numerical likelihood estimation and Monte Carlo inference. Resampling methods.

Course code

Qualifications are made up of courses. Some universities call these papers. Each course is numbered using six digits.

161705

Level

The fourth number of the course code shows the level of the course. For example, in course 219206, the fourth number is a 2, so it is a 200-level course (usually studied in the second year of full-time study).

700-level

Credits

Each course is worth a number of credits. You combine courses (credits) to meet the total number of credits needed for your qualification.

15

Subject

Statistics

Course planning information

Course notes

Access to a Windows PC and approved statistics package is required for analysis of data.

General progression requirements

You may enrol in a postgraduate course (that is a 700-, 800- or 900-level course) if you meet the prerequisites for that course and have been admitted to a qualification which lists the course in its schedule.

Learning outcomes

What you will learn. Knowledge, skills and attitudes you’ll be able to show as a result of successfully finishing this course.

  • 1 Apply the general theory of statistical inference to specific problems.
  • 2 Evaluate the properties of statistical procedures.
  • 3 Apply statistical procedures to unfamiliar situations.
  • 4 Use computer-intensive methods.

Learning outcomes can change before the start of the semester you are studying the course in.

Assessments

Assessment Learning outcomes assessed Weighting
Written Assignment 1 2 3 15%
Written Assignment 1 2 3 15%
Written Assignment 2 3 4 30%
Written Assignment 1 2 3 4 40%

Assessment weightings can change up to the start of the semester the course is delivered in.

You may need to take more assessments depending on where, how, and when you choose to take this course.

Explanation of assessment types

Computer programmes
Computer animation and screening, design, programming, models and other computer work.
Creative compositions
Animations, films, models, textiles, websites, and other compositions.
Exam College or GRS-based (not centrally scheduled)
An exam scheduled by a college or the Graduate Research School (GRS). The exam could be online, oral, field, practical skills, written exams or another format.
Exam (centrally scheduled)
An exam scheduled by Assessment Services (centrally) – you’ll usually be told when and where the exam is through the student portal.
Oral or performance or presentation
Debates, demonstrations, exhibitions, interviews, oral proposals, role play, speech and other performances or presentations.
Participation
You may be assessed on your participation in activities such as online fora, laboratories, debates, tutorials, exercises, seminars, and so on.
Portfolio
Creative, learning, online, narrative, photographic, written, and other portfolios.
Practical or placement
Field trips, field work, placements, seminars, workshops, voluntary work, and other activities.
Simulation
Technology-based or experience-based simulations.
Test
Laboratory, online, multi-choice, short answer, spoken, and other tests – arranged by the school.
Written assignment
Essays, group or individual projects, proposals, reports, reviews, writing exercises, and other written assignments.

Textbooks needed

Textbooks can change. We recommend you wait until at least seven weeks before the semester starts to buy your textbooks.

Compulsory

INTRODUCTION TO PROBABILITY AND MATHEMATICAL STATISTICS

Author
BAIN AND ENGELHARDT
ISBN
0-534-38020-4
Edition
2ND
Publisher
Duxbury Press 1992

Recommended

MATHEMATICAL STATISTICS

Author
MILLER & MILLER
ISBN
0-13-142706-7
Edition
7TH
Publisher
Prentice Hall c2004

STATISTICAL THEORY

Author
LINDGREN
ISBN
0412-041812
Edition
3RD OR 4TH
Publisher
Chapman Hall 1976

Campus Books stock textbooks and legislation. For more information visit Campus Books.

Course delivery details

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