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DANIEL PEA ANALISIS DE DATOS MULTIVARIANTES PDF

Scribd is the world’s largest social reading and publishing site. Daniel Peña of University Carlos III de Madrid, Getafe (UC3M) with expertise in: Álgebra matricial — Descripción de datos multivariantes — Análisis gráfico y. Comentaris de llibres: Peña, Daniel. “Análisis de datos multivariantes”. Madrid: Editorial McGraw Hill, pp. Thumbnail.

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Oral and written skills. Oral presentations and debates.

Contenidos del curso

Learning activities and methodology. Acquire skills in heterogeneity problems such as outlier detection, hypothesis testing for different means and classification.

Applied multivariate statistical analysis. Introduction to the multivariate data analysis.

Capacity of analysis and synthesis. Handle statistical software for multivariate analysis. Model based clustering and canonical correlation Dcember 18th: Tutorial classes during the week Computing classes in computer halls.

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Students are expected to have completed.

The course syllabus and the academic weekly planning may change due academic events or other reasons. Kent y John M.

Aptitude to work in a group. Basic knowledge for handling vectors and matrices. Books Kruskal, Joseph B.

A course in time series analysis

Oral presentations and debates. If you wish to download it, please recommend it to your friends in any social danjel. Multivariate Models November 27th: Know the properties of multivariate distributions. Bachelor in Statistics and Business Tutorial classes during the week Further information on this link. Feedback Privacy Policy Feedback. Bachelor in Statistics and Business An introduction to multivariate statistical analysis. Learning activities and methodology.

Libro: A course in time series analysis – – Peña, Daniel – · Marcial Pons Librero

Practical classes 2 ECTS: To make this website work, we log user data and share it with processors. Discriminant Analysis December 11th: The course syllabus and the dayos weekly planning may change due academic events or other reasons. Chapter 1 Course Syllabus. Theoretical classes with support material taken from the web. Tutorial classes before the midterm exam.

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Handle statistical software for multivariate analysis. Factorial Models December 4 th: Acquire skills in principal component analysis. Applied multivariate statistical analysis. Competences and skills that will be acquired and learning results. Oral and written skills. Johnson y Dean W.

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