Talk: A Shifting Landscape for Laboratory Science,
R Markdown source (Mt Albert Research Centre,
May 10 2016)
The slides comment on issues with published content more generally
--- Reinhart-Rogoff: "Growth in a Time of Debt";
Jung et al: "Female hurricanes are deadlier than male hurricanes".
README file (has details of other files in the directory,
including R Markdown source files)
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Talk: Reproducibility in Science --- Rethink, or Crisis,
Shorter version (has some new content)
(Victoria University of Wellington, Wed 4 Nov 2015)
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Statistics for a More Scientific Science.
How much of published laboratory science should one believe?
Substantially expanded version of talk given at NZSA+ORSNZ 2014.
NB: Supplemental materials may relate to an earlier version of
the talk.
See above for a later version.
Supplementary materials.
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Technology-enabled advance in the worlds of statistics, machine
learning and data mining.
New Zealand Science Review 68 (2011):
113-116.
Supplementary materials.
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Interview with Steve Miller of Business Intelligence Network Newsletter
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Data, science and new computing technology.
New Zealand Journal of Science 62 (2005): 126-128.
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The Role of Models
in Predictive Validation (Statistics for Budding Data Miners.
(Invited paper, Session 69, ISI meeting, Berlin 2003
Overheads)
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Florence Nightigale on: 1) The importance of statistics;
2) Social science as theology.
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The Use of Generalized Additive Models in Spatial Interpolation
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