Chris Wild

Chris Wild's main interests are in developing methods for modelling response-selective data (e.g. case-control studies) and missing data problems, and in statistics education with particular emphasis on statistical thinking and reasoning processes, data visualisation and concept visualisation.
Chris did his first degrees at Auckland followed by a PhD at the University of Waterloo in Canada before joining the then Statistics Unit of the Department of Mathematics in 1979. He is a Fellow of the American Statistical Association, a Fellow of the Royal Society of New Zealand, and an Editor of the International Statistical Review. He has been a Council member of the International Statistical Institute (2005 - 2009), President of the International Association for Statistics Education (IASE, 2003 - 2005), an Associate Editor of Biometrics , the Statistics Education Research Journal (SERJ), and the Australian and New Zealand Journal of Statistics. He was Head of Auckland's Department of Statistics 2003-2007 and co-led the University of Auckland's first-year statistics teaching team to a national Tertiary Teaching Excellence Award in 2003.
More info: https://www.stat.auckland.ac.nz/showperson?firstname=Chris&surname=Wild

No sessions available

Course Auditing

FutureLearn

University of Auckland

Categories

Statistics & Data Analysis

Effort

5-12 Weeks

1-4 Hours/Week

Languages

English

A hands-on introduction emphasizing key ideas, computer skills and statistical thinking. Data is everywhere and the lessons it contains can be the key to making good decisions. We want to give you skills and the confidence to dive into data using computer software and start making discoveries. You will [...]