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Dear All, Last chance to register for the following: Course: Environmental Sampling and Monitoring Wednesday 7th June 2006 A One-Day Workshop at the RSS Offices, London By Vic Barnett Cost £55 (for university staff and students) includes tea, coffee, lunch and course materials (discounts available for participants from same university/college - £100 for two, £140 for three) £100 (for non-academics) Registration Contact Brad Payne on 0115 8488410 or email [log in to unmask] 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 re-weighting 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 NB Sample Survey Principles and Methods will be available to buy at the course with a 15% discount. 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. This email is intended solely for the addressee. It may contain private and confidential information. If you are not the intended addressee, please take no action based on it nor show a copy to anyone. In this case, please reply to this email to highlight the error. Opinions and information in this email that do not relate to the official business of Nottingham Trent University shall be understood as neither given nor endorsed by the University. Nottingham Trent University has taken steps to ensure that this email and any attachments are virus-free, but we do advise that the recipient should check that the email and its attachments are actually virus free. This is in keeping with good computing practice.