Εφαρμογή τεχνικών πολυμεταβλητής ανάλυσης σε ιατρικά και κοινωνικο-οικονομικά προβλήματα

Σκύφα, Βασιλική - Αμαρυλλίς

Application of multivariate analysis techniques in medical, financial and social problems

Master Thesis

Author

Σκύφα, Βασιλική - Αμαρυλλίς

Date

2021-09

Abstract

Multivariate Analysis is a subdivision of Statistics encompassing a large amount of methods which aim to collect, study and analyze data consisting of multiple variables’ measurements in a set of experimental units. The most commonly used techniques of Multivariate Statistical Analysis are: • Principal Component Analysis, • Factor Analysis, • Cluster Analysis, • Discriminant Analysis, • Correspondence Analysis. Every researcher can choose to apply one or more of the above techniques in order to reduce the number of variables used without loosing valuable information, group data into similar subsets, investigate the existence of dependence between variables, create forecast models and carry out hypothesis testing for parameters related to the studied data. The purpose of this thesis is the presentation of the first two methods and the application of them in a case study, concerning medical data, in order to extract useful conclusions.

Postgraduate Studies Programme

Εφαρμοσμένη Στατιστική

Department

Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Στατιστικής και Ασφαλιστικής Επιστήμης

Number of pages

134

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/13818
http://dx.doi.org/10.26267/unipi_dione/1241

Collections

Τμήμα Στατιστικής και Ασφαλιστικής Επιστήμης

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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα