Zielgruppe:

Mitarbeiter, die R für statistische Auswertungen nutzen wollen.

Inhalt:

Some basic tools for descriptive and parametric statistic are presented and investigated using the freeware R.
The objective is to propose useful methods allowing to analyze data or to develop and calibrate models, as well as to learn how to use R.
The course is organized in three sessions of two hours:

• The first session is about descriptive tools for univariate and bivariate data (such as histogram, kernel density, measures of location/variability, ranking, boxplot, covariance, correlation, simple linear regression, qqplot).
• The second session concerns descriptive analysis for multivariate data and big data: Principal component analysis; Multiple linear regression / Estimation by least-square; Supervised and unsupervised clustering methods; Bootstrap.
• The last session is about parametric statistic: Estimator (definition and property); Punctual estimation (by maximal likelihood and Bayesian approach); Information criteria (AIC, BIC, likelihood ratio...); Precision of the estimations (confidence and credible intervals); Test of hypothesis.

Sprache:

Der Kurs wird auf Englisch gehalten.

Dauer:

1 Tag

Termin:

Donnertag, 9. März 2017, 9.00-12.00 und 13.30-16.00 Uhr

Ort:

Jülich Supercomputing Centre, Besprechungsraum 2, Geb. 16.3, Raum 315

Teilnehmerzahl:

mindestens 5, höchstens 14

Referent:

Dr. Antoine Tordeux, JSC

Kursmaterial:

Introduction to descriptive and parametric statistic with R