Dear All,
Following the success of the Environmental Sampling and Monitoring Course held at the Royal Statistical Society in 2006, we are planning to run a further course in May 2007.
Location: London
Date: The exact date is yet to be confirmed, however, if you register interest before Friday 9th February, a 25% course discount will be available.
Cost:
£70 (for university staff and students) includes tea, coffee, lunch and course materials (discounts available for participants from same university/college - £120 for two, £165 for three)
£120 (for non-academics)
To guarantee your place at the 25% discounted rate it is advised to register early.
Registration:
Contact Brad Payne on 0115 8488410 or email [log in to unmask] <mailto:[log in to unmask]>
(I will be on leave from 27th January to 4th February, however I will confirm registered places on my return)
Details:
A One-Day Workshop, London
By Vic Barnett
Synopsis
The collection of representative data for efficient estimation of population characteristics is vital in all areas of statistical enquiry - none more so than in the study of environmental issues. Finite population survey sampling methods (including methods of simple random sampling, stratified sampling and cluster sampling) are well known and are relevant to environmental sampling and monitoring (e.g in environmental health, pollution, water and air quality, environmental change networks, etc). But more modern approaches which depart from the earlier principles of randomness and segregation can yield major advantages for estimating elusive environmental characteristics especially when sample selection and testing is expensive and optimal procedures are thus vital. They also arise in contexts where characteristics of interest are rare in the population or are of a sensitive or confidential nature, or for special fields of application. Specifically the course will present results in these newer fields relating to:
size biasing and reweighting methods
composite sampling and randomised response methods for handling sensitive issues
ranked set sampling for high-efficiency inference where sampling costs are very high
capture-recapture and transect sampling used widely but in particular for studying wild-life environmental problems involving plants, animals, fisheries, forestry and plants, etc.
Lectures will be augmented by practical examples; the material is given more extensive treatment in:
Barnett, V. (2002) Sample Survey Principles and Methods, Arnold, London
Barnett, V. (2004) Environmental Statistics, Wiley, Chichester
Programme (provisional)
09.45 - 10.15 Registration and Welcome
10.15 - 11.15 Session 1: Structured sampling - overview, size biasing, weighting methods
11.15 - 11.30 Morning Coffee
11.30 - 12.30 Session 2: Composite sampling - rare events, some material on standards.
12.30 - 13.30 Lunch
13.30 - 14.30 Session 3: Ranked set sampling -accessibility, economy
14.30 - 14.45 Afternoon Tea
14.45 - 15.45 Session 4: Capture-recapture, transect sampling and adaptive methods
15.45 - 16.15 Discussion and Close
Biopic
Vic Barnett is Professor of Statistics at Nottingham Trent University. He previously served at the Universities of Nottingham, Sheffield, Bath, Western Australia and Manchester and was Head of Biomathematics at Rothamsted. He has pioneered initiatives in environmental statistics such as SPRUCE (Statistics in Public Resources, Utilities and in Care of the Environment) with its major international conferences and volumes in the series Statistics for the Environment (J.Wiley & Co.). He has written and edited more than 20 books on statistical research and methods including the topics of environmental statistics, survey sampling, outliers and inference and published more than 100 research papers.
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