Multivariate Analysis

online 2 days

Software: Statistica | Level: Advanced | Language: English

Most popular methods of multivariate data analysis are presented in the course. They can be used to analyse complex phenomena characterized by many variables. The course covers graphic presentations of multivariate data, applied multivariate regression, ordering of multidimensional objects, cluster analysis, basics of Factor Ananlysis and Principal Component Analysis and Multidimentional Scaling – all of them performed in Statistica Software.

For whom?

For those who are interested in the analysis of phenomena described by many variables with application in medicine, social sciences, economics, market research, psychology and many other fields.

As the results of the course you will know how to:

use the most popular techniques of multivariate data analysis
extract useful knowledge from your data
graphically present multivariate data
select the best subset of variables and build your own model
look for relations between variables
build rankings of objects described by many variables
reduce dimensiality of your problem
find groups of similar objects
be more fluent in Statistica

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Training programme:

Introduction
- Measurement scales
- Multivariate random variable. Finite mixture distribution.
- Statistical hypotheses testing
Graphical presentation of multivariate data
Applied multiple regression
- Linear multiple regression model
- Essential steps in applied regression analysis
- Stepwise regression
- Goodness-of-fit measures
- Analysis of residuals
Linear ordering of multidimentional objects (rankings)
- Identification and selection od diagnostic variables
- Normalization and standarization
- Aggregation formulas
Cluster analysis
- Tasks and problems in cluster analysis
- Distance measures
- Agglomerative methods
- K-means method
- Comparing partitions
- Dynamic cluster analysis
Multidimentional scaling
Factor analysis and Principal Component Analysis
- General ideas and aims of FA and PCA
- Interpretation of eigenvalues and factor loadings
- Identification of factors

[PL] prof. dr hab. Andrzej Sokołowski w białej koszuli i czarnej marynarce, na jednolitym szarym tle. [EN] Professor Andrzej Sokołowski in a white shirt and black blazer, against a plain gray background.

Prof. Andrzej Sokołowski

Professor at the Cracow University of Economics, Department of Statistics. Formerly worked at the Oncology Center in Krakow.
Visiting Assistant Professor at Bilkent University, Ankara (1990–1994).
Vice-Rector for International Cooperation (1999–2002) and Organization & Development (2012–2016) at the Cracow University of Economics.
Currently employed at Andrzej Frycz Modrzewski Krakow University.
Research interests: mathematical statistics, multivariate analysis, medical statistics, time series analysis, and statistical software.
Author/co-author of numerous books, book chapters, and journal articles in both Polish and English.

Online training.

Requirements:

computer skills in a Windows environment

Price: 895 EUR

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