Laboratory for Mathematical Statistical Experiments
The Laboratory for Mathematical Statistical Experiments (LMSE) emerged in Christchurch, New Zealand in 2009 as a cyber organisational response to various activities at the Christchurch Centre since 2007.
LMSE Christchurch Centre aims to facilitate activities that allow a deeper appreciation of Mathematics and Statistics. See current activities.
The laboratory facilitates teaching and learning styles that complement the traditional and predominant read-write style. A simple and concrete experiment may often allow the teacher/learner pair to kinesthetically and/or perceptually relate it to the mathematical model of the statistical experiment. Toward this goal LMSE Christchurch Centre has coordinated several projects listed below. Increasingly, live and interactive lectures are facilitated using the Sage Notebook Server. For a recent example of such lectures see the course on Monte Carlo Methods.
The activities and projects are supported by various funding bodies as detailed in the project reports. LMSE Christchurch Centre adheres to this Disclaimer Policy. Any one from anywhere is welcome to contribute and coordinate projects to legally share, remix and reuse under appropriate terms of Creative Commons.
The Laboratory has a long-term research focus on Trans-traditional Mathematical Statistical Experiments at the intersection of Philosophical Logic, Implementable Mathematics and Decision Theory. Toward this focus, it currently aims to provide bench-marked data sets of mechatronically measurable non-linear systems to researchers interested in Hausdorff-extensions of classical statistical decision problems toward epistemologically valid experiments in the vein of Machine Interval Experiments: Accounting for the Physical Limits on Empirical and Numerical Resolutions.
Projects Coordinated at The LMSE Christchurch Centre
projects that are hosted within the Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand:
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Double pendulum
A mechatronically measurable double pendulum that can produce nonlinear time series data
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Galton’s quincunx
Estimating the Binomial probability p for a Galton’s Quincunx
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Galton’s septcunx
Extending Galton’s binomial quincunx to the trinomial septcunx
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Galton’s dice
Build Galton’s dice and draw samples from the Normal distribution
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Buffon’s needle
Testing the Approximation of pi by Buffon’s Needle Test
projects that are hosted within other institutions:
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Pingala’s Fountain
Honouring Pingala’s bijection between binary and natural numbers, binomial coefficients and Fibonacci numbers
Any enquiries to:
Dr. Raazesh Sainudiin
Department of Mathematics and Statistics
University of Canterbury
Private Bag 4800
Christchurch
New Zealand
Room 724 Erskine Building
Telephone: +64-3-364 2987, Extn 7691
Fascimile: +64-3-364 2587
R.Sainudiin@math.canterbury.ac.nz
Last modified on Saturday, 24-Sep-2011 09:22:31 NZST and served on Friday, 10-Feb-2012 10:02:30 NZDT.