The University of Southampton
Courses

STAT6101 Further Survey Estimation

Module Overview

This module will expose you to current theory in survey inference, focusing on methodology for survey based estimation for population totals and related quantities.

Aims and Objectives

Module Aims

To provide students with the skills to critically evaluate the possibilities for using administrative data, and the methodological tools for incorporating them into official statistics. It also demonstrates ways to assess the quality of administrative data and outputs based on it, using some topical case studies.

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • To provide students with the skills to critically evaluate the possibilities for using administrative data, and the methodological tools for incorporating them into official statistics. It also demonstrates ways to assess the quality of administrative data and outputs based on it, using some topical case studies.
  • Demonstrate knowledge and understanding of alternative approaches to inference for finite populations with an appreciation of their strengths and weaknesses.
  • Appreciate the difficulties of variance estimation for general estimators and have an introductory knowledge of the approaches that can be used to overcome this issue.
  • Report on the application of advanced statistical methods in an accessible way.
  • Develop your skills in reading and utilising advanced academic literature

Syllabus

- Historical overview. - Design-based survey estimation. - Conceptual problems of design-based inference. - Model-assisted survey estimation (post-stratification, ratio estimation, regression estimation). - Model-based survey estimation. - Variance estimation.

Special Features

This module is run as a week-long short course, a component of the MSc Official Statistics.

Learning and Teaching

Teaching and learning methods

A variety of methods will be used including lectures and workshops/tutorials, mixed in a 5 day course designed for students on release from the workplace. Students are also expected to read wider than the lecture material as part of their individual study, and to critically appraise different approaches.

TypeHours
Teaching25
Independent Study75
Total study time100

Resources & Reading list

Sarndal, C.-E., Swensson, B. and Wretman, J (1992). Model Assisted Survey Sampling. 

Wolter, K. M. (2007). Introduction to Variance Estimation. 

Valliant, R., Dorfman, A.H. and Royall, R.M. (2000). Finite Population Sampling and Inference. 

Lohr, S. L. (2010). Sampling: Design and Analysis. 

Brewer, K. (2002). Combined Survey Sampling Inference. 

Assessment

Summative

MethodPercentage contribution
Coursework  (4000 words) 100%

Referral

MethodPercentage contribution
Coursework 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Pre-requisites

To study this module, you will need to have studied the following module(s):

CodeModule
STAT6095Regression Modelling
STAT6093Survey Sampling

Costs

Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Approved Calculators

Candidates may use calculators in the examination room only as specified by the University and as permitted by the rubric of individual examination papers. The University approved model is Casio FX-570 This may be purchased from any source and no longer needs to carry the University logo.

Stationery

You will be expected to provide your own day-to-day stationery items, e.g. pens, pencils, notebooks, etc.

Textbooks

Where a module specifies core texts these should generally be available on the reserve list in the library. However due to demand, students may prefer to buy their own copies. These can be purchased from any source. Some modules suggest reading texts as optional background reading. The library may hold copies of such texts, or alternatively you may wish to purchase your own copies. Although not essential reading, you may benefit from the additional reading materials for the module.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.

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