Grant: Discovery Grants Program - Individual
York University
$12,000.00
Graphical methods for multivarialte linear models
EF 2011-12
Résumé
This proposal describes new methods for visualizing the results of statistical tests dealing with multivariate linear models. I also propose studies in the history of statistics and data visualization, and the continuation of a Milestones Project, designed to collect and catalog a database of images and documents representing the significant developments in this long history.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
138748-2008
Name nom
Friendly, Michael
Department département
Health, Faculty of
Organization id
38
Institution établissement
York University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2011
Competition year année de concours
2008
Award amount
12000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
14
Committee name en
Statistical Sciences
Committee name fr
Statistique
Area of application code
1210
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Psychology
Area of application fr
Psychologie
Research subject code
3011
Research subject group en
Statistics and probability
Research subject group fr
Statistique et probabilité
Research subject en
Multivariate analysis
Research subject fr
Analyse multivariée
Partie
4
Nb partie
5
Application title
Graphical methods for multivarialte linear models
Keyword
NSERC
Application summary
This proposal describes new methods for visualizing the results of statistical tests dealing with multivariate linear models. I also propose studies in the history of statistics and data visualization, and the continuation of a Milestones Project, designed to collect and catalog a database of images and documents representing the significant developments in this long history.
