Latest news

Upcoming courses (see www.highstat.com):

  • Hybrid course (onsite and online): Zero-inflated GAMs for the analysis of spatial and spatial-temporal correlated data using R-INLA. Wageningen, The Netherlands. 23 - 27 September 2024 Teaching times: 09.00-16.00 CET. Course flyer.
  • Online: Introduction to Linear Mixed-Effects Models and GLMM. 28 - 31 October 2024. Teaching times: 09.00-16.00 BST.  Course flyer.
  • Online: Introduction to GLLVM and multivariate GLMM. 2 -5 December 2024. Teaching times: 09.00-16.00 (09.00-16.00 GMT). Course flyer

Welcome (Fàilte)

Highland Statistics Ltd would like to welcome you to its course website. If you are joining one of our onsite courses, then click on the menu item 'ONSITE COURSES' at the top of this page. If you signed up for an online course, then click on the menu item 'ONLINE COURSES' at the top of this page. If you did not sign up for any course, then please visit www.highstat.com.

Our course material is based on a series of 11 statistical textbooks. The books cover introductory topics like R, data exploration and linear regression, but also advanced material like zero-inflated GLMMs with spatial and spatial-temporal dependency. Our first 3 books were published by Springer in 2007 and 2009. Since then we have published another 8 books.

These books can be purchased (exclusively) from www.highstat.com.

 

28,15,0,50,1
25,600,60,1,1000,1000,10,2000
90,300,1,50,12,25,50,1,70,12,1,50,1,1,1,5000
0,1,1,0,1,30,10,5,0,0,0,10,0,1
The World of Zero-Inflated Models
Beginner's Guide to Zero-Inflated Models with R
Beginner's Guide to Zero-Inflated Models with R
Beginner's Guide to Data Exploration and Visualisation with R
Beginner's Guide to Data Exploration and Visualisation with R
Beginner's Guide to Data Exploration and Visualisation with R
Beginner's Guide to Generalized Additive Mixed Models with R
Beginner's Guide to Generalized Additive Mixed Models with R
Beginner's Guide to Generalized Additive Mixed Models with R
Beginner's Guide to GLM and GLMM with R
Beginner's Guide to GLM and GLMM with R
Beginner's Guide to GLM and GLMM with R
Beginner's Guide to Generalized Additive Models with R
Beginner's Guide to Generalized Additive Models with R
Beginner's Guide to Generalized Additive Models with R
Zero Inflated Models and Generalized Linear Mixed Models with R
Zero Inflated Models and Generalized Linear Mixed Models with R
Zero Inflated Models and Generalized Linear Mixed Models with R
Mixed Effects Models and Extensions in Ecology with R
Mixed Effects Models and Extensions in Ecology with R
Mixed Effects Models and Extensions in Ecology with R
A Beginner's Guide to R
A Beginner's Guide to R
A Beginner's Guide to R
Analysing Ecological Data
Analysing Ecological Data
Analysing Ecological Data
The World of Zero-Inflated Models
The World of Zero-Inflated Models
The World of Zero-Inflated Models
Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume 1
Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume 2
Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume 2
Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume 1
Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume 1
Beginner's Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume 1