Genstat is a comprehensive statistical system that allows you to summarize, display, and analyze data. This software is useful in agriculture, ecology, genetics, medical research, and other areas of biology, as well as in industrial research and quality control, and economic and social survey; in fact, in any field of research, business, government, or education wherever statistics are used. Invest in your future.
What you'll learn in this Genstat course: Intermediate data analysis: comparison methods, split-plot, stratified designs, lattice design, and spatial model
Who this course is for: Anyone who has Genstat software and is interested in Genstat in general.
Prerequisites: Genstat software: As a participant of this training you have access to a free license for Genstat for the duration of the course, 30 days. Once the course has been purchased you will be sent a license and link to download the software within 24 hours. Please note this will ONLY be sent to the email from which you signed up.
Instructor: Roger Payne (Chief Science and technology office-VSNi)
Roger Payne leads the development of Genstat at VSN, now working part-time after 15 years in the full-time role of VSN's Chief Science and Technology Officer. He has a degree in Mathematics and a Ph.D. in Mathematical Statistics from University of Cambridge, and is a Chartered Statistician of the Royal Statistical Society. Prior to joining VSN, Roger was a statistical consultant and researcher at Rothamsted, becoming their expert on design and analysis of experiments, as well as the leader of their statistical computing activities. He originally took over the leadership of Genstat development there in 1985 when John Nelder retired. His other statistical interests include generalized and hierarchical generalized linear models, linear mixed models, the study of efficient identification methods (with applications in particular to the identification of yeasts). Roger's statistical research has resulted in 9 books with commercial publishers, as well as over 100 scientific papers.