PARTFUNDED SCHOLARHPS 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 oliverhoo...@prstatisitics.com 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
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prstatistics.com/organiser/oliver-hooker/
6 Hope Park Crescent
Edinburgh
EH8 9NA
+44 (0) 7966500340
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