PARTFUNDED SCHOLARSHIPS for the course "Time series models for ecologists (TSME02) deadline 14/09/2018"
This course will run from the 1st - 5th October 2018 in Glasgow City Centre, Scotland, UK www.prstatistics.com/course/time-series-models-for-ecologists-tsme02/ PR STATISTICS ARE PLEASED TO ANNOUNCE THAT THROUGH THEIR FUNDING SCHEME THEY ARE ABLE TO OFFER PART-FUNDED SCHOLARSHIPS FOR THREE UP-COMING COURSES 1) Time series models for ecologists (TSME02) As well as… 2) Introduction to Frequentist and Bayesian mixed (Hierarchical) models (IFBM01) 3) Applied Bayesian modelling for ecologists and epidemiologists (ABME04) SCHOLARSHIPS FOR TSME02 CONTRIBUTE TOWARDS COURSE AND ACCOMMODATION FEES WITH ALL INCLUSIVE PLACES (accommodation and meals included) AVAILABLE AT £475.00 (Fees have been subsidised by 40% from £775.00). Applications should be sent to [email protected] and contain the following. 1. Full name 2. Institute name 3. PhD subject title or Post doc research questions 4. Do you hold a funded position 5. 150 words why this course would be relevant to your research or how it would help. Application deadline is Thursday 13th September and decisions will be made by Friday 14th September 2018. We still have ‘normal’ places available for anyone else interested. Full course details are given below Time series models for ecologists (TSME02) deadline 14/09/2018 https://www.prstatistics.com/course/time-series-models-for-ecologists- tsme02/ Course Overview: This course will cover time series analysis with a particular focus on applications in ecology. All methods will be illustrated using the free, open-source software package R. The course is designed for attendees that have a basic knowledge of R and elementary statistics but not necessarily time series. Time Series data are ubiquitous in the physical sciences, and models for their behaviour enable scientists to understand temporal dynamics and predict future values. The course will cover a range of techniques from time series decomposition, seasonally adjusting, temporal autocorrelation and correlograms, simple exponential smoothing and ARIMA modelling approaches up to complex Bayesian models. Participants will gain a deeper understanding of the models being fitted, and be able interpret the results appropriately. Participants are encouraged to bring their own data sets for discussion with the course tutor. Oliver Hooker PhD. PR statistics 2018 publications - Alternative routes to piscivory: Contrasting growth trajectories in brown trout (Salmo trutta) ecotypes exhibiting contrasting life history strategies. Ecology of Freshwater Fish. DOI to follow Phenotypic and resource use partitioning amongst sympatric lacustrine brown trout, Salmo trutta. Biological Journal of the Linnean Society. DOI 10.1093/biolinnean/bly032 prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 6 Hope Park Crescent Edinburgh EH8 9NA +44 (0) 7966500340
