<--- Back to Details
First PageDocument Content
Royal Statistical Society / Statistics education / George Handley Knibbs / Dennis Trewin / Australian Statistician / Pat Moran / Statistician / Statistics / Mathematical sciences / Chris Heyde
Date: 2013-11-14 02:00:19
Royal Statistical Society
Statistics education
George Handley Knibbs
Dennis Trewin
Australian Statistician
Pat Moran
Statistician
Statistics
Mathematical sciences
Chris Heyde

[removed]SSAI - Celebrating 50 Years 1

Add to Reading List

Source URL: www.statsoc.org.au

Download Document from Source Website

File Size: 1,04 MB

Share Document on Facebook

Similar Documents

Lie groups / Mathematics / Algebra / Abstract algebra / Nilpotent group / Approximate group / Lie algebra / Exponential map / BakerCampbellHausdorff formula / Quotient group

An alternative approach to Freiman’s theorem in p-groups Matthew C. H. Tointon∗ Department of Pure Mathematics and Mathematical Statistics, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road,

DocID: 1xVmO - View Document

Computing / Software engineering / Computer programming / Parallel computing / Graphics hardware / Object-oriented programming languages / GPGPU / Cross-platform software / CUDA / General-purpose computing on graphics processing units / AOS and SOA / Thread

Object Support in an Array-Based GPGPU Extension for Ruby Matthias Springer Hidehiko Masuhara Department of Mathematical and Computing Sciences, Tokyo Institute of Technology, Japan

DocID: 1xV2l - View Document

Cryptography / Multivariate cryptography / Hidden Field Equations / Equation / Field extension / XSL attack

Square, a New Multivariate Encryption Scheme Crystal Clough1 , John Baena1,2 , Jintai Ding1,4 , Bo-Yin Yang3 , and Ming-shing Chen3 1 Department of Mathematical Sciences,

DocID: 1xTAy - View Document

Constraint programming / Mathematical optimization / Theoretical computer science / Statistical classification / Artificial intelligence / Machine learning / Support vector machine / Constraint satisfaction problem / Constraint satisfaction / Decomposition method / Constrained optimization / Constraint

Learning-Based Abstractions for Nonlinear Constraint Solving Sumanth Dathathri ∗1 , Nikos Arechiga2 , Sicun Gao3 , and Richard M. Murray1 1 Computing and Mathematical Sciences, California Institute of Technology 2

DocID: 1xTvr - View Document

Graphs and their applications to network modelling Matthew Roughan <> http://www.maths.adelaide.edu.au/matthew.roughan/ School of Mathematical Sciences, University of Adelaide

DocID: 1vrsi - View Document