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ONLINE COURSE – Nonlinear Regression using Generalized Additive Models (GAMR01) This course will be delivered live

1 October 2020 - 2 October 2020

£300

This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

TIME ZONE – Western European Time +1 – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@psstatistics.com for full details or to discuss how we can accommodate you).

Course Overview:

This course provides a general introduction to nonlinear regression analysis using generalized additive models. As anM introduction, we begin by covering practically and conceptually simple extensions to the general and generalized linear models framework using polynomial regression. We will then cover more powerful and flexible extensions of this modelling framework by way of the general concept of basis functions, which includes spline and radial basis functions.

We then move on to the major topic of generalized additive models (GAMs) and generalized additive mixed models (GAMMs), which can be viewed as the generalization of all the basis function regression topics, but cover a wider range of topic including nonlinear spatial and temporal models and interaction.

This is one module of a seven module series – you do not need to attend them all but they are designed to complement each other. Please see the links below

“1” June 23rd – 24th Introduction to R for ecologists and evolutionary biologists

ONLINE COURSE – Introduction to R for ecologists and evolutionary biologists (IRFB04) This course will be delivered live

“2”July 23rd – 24th Introduction to generalised linear models using R and Rstudio

ONLINE COURSE – Introduction to generalised linear models using R and Rstudio (IGLM01) This course will be delivered live

“3” August 6th – 7th Introduction to mixed models using R an d Rstudio

ONLINE COURSE – Introduction to mixed models using R and Rstudio (IMMR02) This course will be delivered live

“4” August 20th – 21st Data visualization using GG plot 2 (R and R studio)

ONLINE COURSE – Data visualization using GG plot 2 (R and Rstudio) (DVGG01) This course will be delivered live

“5” September 3rd – 4th Data wrangling using R and Rstudio

ONLINE COURSE – Data wrangling using R and Rstudio (DWRS01) This course will be delivered live

“6” October 1st – 2nd Introduction to Nonlinear Regression using Generalized Additive Models

https://www.psstatistics.com/course/introduction to nonlinear-regression-using-generalized-additive-models-gamr01

“7” Date to be confirmed Introduction to time series analysis using R

Intended Audience

This course is aimed at anyone who is interested in learning and applying time series analyses. These methods have
major applications throughout the sciences as well in business and finance.

Venue – Delivered remotely

Time zone – Western European Time +1

Availability – 20 places

Duration – 2 days

Contact hours – Approx. 15 hours

ECT’s – Equal to 2 ECT’s

Language – English

PLEASE READ – CANCELLATION POLICY: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@psstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees (and accommodation fees if booked through PS statistics) will be credited.

Dr. Mark Andrews

Teaching Format
Course Programme

Details

Start:
1 October 2020
End:
2 October 2020
Cost:
£300

Venue

Delivered remotely (United Kingdom)
Western European Time, United Kingdom + Google Map

Tickets

8 available
GAMR01 COURSE ONLY£300.00