- Docente: Angela Montanari
- Crediti formativi: 6
- SSD: SECS-S/01
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
-
Corso:
Laurea in
Scienze statistiche (cod. 8873)
Valido anche per Laurea Magistrale in Statistical sciences (cod. 9222)
Conoscenze e abilità da conseguire
By the end of the course the student gains an appreciation of the types of problems and questions arising with multivariate data. In particular the student should be able: - to apply and interpret methods of dimension reduction including principal component analysis, multidimensional scaling, factor analysis, canonical variates - to apply and interpret methods for cluster analysis and discrimination - to interpret the output of R procedures for multivariate statistics
Contenuti
Multivariate data and derived matrices. Dimension reduction methods: principal component analysis, factor analysis. Cluster analysis. Discriminant analysis
Testi/Bibliografia
Handnotes (http://www2.stat.unibo.it/montanari/course3.htm )
In Italian
-Appunti di analisi statistica multivariata, S.Mignani e A.Montanari, Esculapio
In English
http://en.bookfi.org [http://en.bookfi.org/]
-Applied Multivariate Data Analysis. B.S. Everitt and G.G. Dunn, 2001, Edward
Arnold. Second Edition.
-A First Course in Multivariate Statistics. B. Flury, 1997, Springer Verlag.
-Introduction to Multivariate Analysis. C. Chatfield and A.J. Collins, 1980, Chapman
and Hall.
-Principles of Multivariate Analysis: A User's Perspective. W.J. Krzanowski, 1988,
Oxford University Press.
-Multivariate Analysis. K.V. Mardia, J.T. Kent and J. Bibby, 1979, Academic Press.
-Modern Applied Statistics with S. Venables, W.N. and Ripley, B.D. 2002. 4th
Edition. Springer Verlag, New York. Very useful for Splus and R
-The Elements of Statistical Learning. Trevor Hastie, Robert Tibshirani and Jerome
Friedman. Springer Verlag, New York. Some very advanced material as well as that
covered in this course (but available for free as a .pdf download on http://www.stat.
stanford.edu/~tibs/ElemStatLearn/)
Practicals
http://www2.stat.unibo.it/montanari/course3.htm
https://little-book-of-r-for-multivariate-analysis.readthedocs.org/en/latest/
https://media.readthedocs.org/pdf/little-book-of-r-for-multivariate-analysis/latest/little-book-of-r-for-multivariate-analysis.pdfMetodi didattici
lectures and practicals
Modalità di verifica e valutazione dell'apprendimento
written exam
Orario di ricevimento
Consulta il sito web di Angela Montanari