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Multivariate Data Analysis School
Multivariate Data Analysis School
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1.Multivariate Data Analysis School
2.Efficient Design & Analysis of...
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4.Preference Mapping in Practice
5.Advanced Experimental Designs
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Introduction to the Analysis of Measurement Uncertainty Introduction to the Analysis of Measurement Uncertainty by Lyne Delorme

J'ai beaucoup apprécié ce cours. Le personnel est très compétent et a de la facilité à communiquer l'information.

 
Fundamental Tools in Statistics Fundamental Tools in Statistics by Vicky Toussaint

Le cours a été très bénéfique. Je le recommande à toutes personnes qui désirent rafraîchir ses notions en statistiques ou qui désirent poursuivre à un grade plus avancé. Les instructeurs possèdent un excellent sens de la pédagogie, ils sont efficaces et démystifient cette science indispensable en recherche et dans de nombreux autres domaines. Je désire poursuivre mon perfectionnement en statistiques avec cette équipe dynamique.

 
Fundamental Tools in Statistics Fundamental Tools in Statistics by Daniel Rousseau

A l’aide de matériel didactique approprié et d’exemples pratiques qui se rapportent à notre travail quotidien, le formateur, qui est très compétent, m’a permis de remettre en mémoire et d’améliorer mes notions de statistique. Ce cours m’a été très utile comme formation de base pour le cours “Introduction à la Planification d’Expériences”.

 
Fundamental Tools in Statistics Fundamental Tools in Statistics by Marco Lagimonière

J'ai bien aimé le cours. Cela m'a permis de rafraîchir mes notions de base en statistique qui remontaient à mes années universitaires. Il me reste maintenant à mettre en pratique les connaissances acquises. Merci encore. Vous faites un travail de pro.

 
Fundamental Tools in Statistics Fundamental Tools in Statistics by Ian Chapman

I started with a minimal knowledge of statistics and statistical methods and tests. This course brought me right up to speed with my colleagues. The concepts were clearly explained and there were several examples of each concept. Overall, an enjoyable and informative course.

 
Introduction to the Design of Experiments (DOE) Introduction to the Design of Experiments (DOE) by Roger L. Roy

DOE helped me to understand the different sources of error and variability as well as the tools available to minimize variability - repetition, randomization, blocking and controls. I now have a much better understanding of simple experimental designs and more complex factorial designs - along with the corresponding statistical tools - t-test, and Analysis of Variance (ANOVA) F-test. The breaking down of the components of variability when performing an ANOVA was of great benefit. Moreover, the notion of an interaction between two factors and how to test multiple comparisons were also very useful. The XLSTAT add-in to Microsoft Excel provides powerful and efficient statistical tools that allowed me to obtain faster, more detailed, reliable and accurate results than I have seen with other statistical packages.

 
Fundamental Tools in Statistics Fundamental Tools in Statistics by Roger L. Roy

Excellent overview of the most important concepts in statistics. The box-plot graphical tool was excellent in helping to determine if data can be considered independent, normally distributed samples so that standard statistical analysis can be conducted. The scope of statistical tests, use of the p-value, and how to minimize risks were all clearly explained. Finally, how to interpret confidence intervals and the equivalence between confidence intervals and hypothesis testing helped me to gain more confidence in my analyses.

 
Regression Models for Categorical Data Regression Models for Categorical Data by Luz Mercedes Gonzalez

Excellent cours sur le contexte et les conditions d’utilisation de la régression logistique .Initiation à la régression ordinal et polychotomique .

 
Simple and Multiple Linear Regression Techniques Simple and Multiple Linear Regression Techniques by Luz Mercedes Gonzalez

Excellent cours. Très claire présentation sur la modélisation , l’adéquation du modèle aux données et l’interprétation des résultats.

 
Simple and Multiple Linear Regression Techniques Simple and Multiple Linear Regression Techniques by Sylvie Sanschagrin

Très bon cours, structuré de façon compréhensible et efficace. La formatrice expose clairement les règles à respecter pour effectuer des régressions simples ou multiples. Bons exemples.


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