Grant: Discovery Grants Program - Accelerator Supplements
Carleton University
$40,000.00
Algorithms for robust multivariate statistics
FY 2008-09
Summary
Mathematical statistics provides many useful analysis and interpretation techniques that can be used in any field where experimental or measured data is present. However, some of these techniques require large amounts of computation that make them difficult to use on large data sets that occur increasingly often. The proposed research project will focus on finding more efficient ways of using a computer to apply power analysis techniques from mathematical statistics. This will allow the application of these techniques to massive data sets in order to perform analyses that were previously not possible. Such data sets occur, for example, in geographic information systems, remote sensing, satellite imagery, medical imagery, business management systems, and bioinformatics.
Program
Discovery Grants Program - Accelerator Supplements
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
364475-2008
Name nom
Morin, Patrick
Department département
Computer Science, School of
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2008
Award amount
40000
Program id
RGPAS
Program nane en
Discovery Grants Program - Accelerator Supplements
Program name fr
Programme de subventions à la découverte - supplément d'accélération
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1073
Committee name en
DAS - Math., Stats., Computer Sc. and Electrical Eng. Selection Committee
Committee name fr
SAD - Comité de sélection en Math., Stats., Informatique et Génie électrique
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2713
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Algorithms
Research subject fr
Algorithmes
Partie
1
Nb partie
3
Application title
Algorithms for robust multivariate statistics
Keyword
NA
Application summary
Mathematical statistics provides many useful analysis and interpretation techniques that can be used in any field where experimental or measured data is present. However, some of these techniques require large amounts of computation that make them difficult to use on large data sets that occur increasingly often. The proposed research project will focus on finding more efficient ways of using a computer to apply power analysis techniques from mathematical statistics. This will allow the application of these techniques to massive data sets in order to perform analyses that were previously not possible. Such data sets occur, for example, in geographic information systems, remote sensing, satellite imagery, medical imagery, business management systems, and bioinformatics.
