[R-sig-eco] Scholarships - Time series models for ecologists stats course

[Oliver Hooker]

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 oliverhooker using 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
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