Technology-enabled advance in the worlds of statistics, machine
learning and data mining.
New Zealand Science Review 68 (2011): 113-116. Supplementary materials.
|Interview with Steve Miller of Business Intelligence Network Newsletter|
Data, science and new computing technology.
New Zealand Journal of Science 62 (2005): 126-128.
The Role of Models
in Predictive Validation (Statistics for Budding Data Miners.
(Invited paper, Session 69, ISI meeting, Berlin 2003 Overheads)
|Florence Nightigale on: 1) The importance of statistics; 2) Social science as theology.|
|The Use of Generalized Additive Models in Spatial Interpolation|
Least squares computation; Theory of Generalized
Linear Models; Regression in Practice;
Comparative a/c of lda(), qda() and logistic regression; Spatial methods in R; Various other notes.
Using R for Data Analysis and Graphics -- Introduction, Examples and
(pdf file, 96 pages, minimally revised Jan 2008)
|Lattice graphics: use of functions (from latticeExtra) that build up graphs in layers; Control of bounding boxes.|
|An R-based Interface to the Google Visualisation API (use, e.g., to create Hans Rosling style Motion Charts).|
|R-based Interfaces to Google Maps|
|The Design of Research Studies - A Statistical Perspective|
|The Rationale of Research (18pp.)|
|Notes on Experimental Design|