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

Multivariate Analysis Course Outline Daniel Peña / ppt download

Bachelor in Statistics and Business Department assigned to the subject: Datis are expected to have completed. Competences and skills that will be acquired and learning results.

Further information on this link. Capacity for identifying problems associated with statistical data in several variables. Basic knowledge for handling vectors and matrices.

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Acquire skills in multivariate data description. Capacity for making and interpreting plots of multivariate datasets. Know the properties of multivariate distributions.

Capacity for making hypotesis testing on a multivariate population. Acquire skills in principal component analysis. Acquire multivariantws in heterogeneity problems such as outlier detection, hypothesis testing for different means and classification.

Handle statistical software for multivariate analysis. Aptitude to understand a real problem and to analyze it as an statistical problem.

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Modeling and solving problems. Capacity of analysis and synthesis. Oral and written skills.

Aptitude to work in a group. Introduction to the multivariate data analysis.

Multivariate Analysis Course Outline Daniel Peña 2007/08.

Descriptive analysis of multivariate data. Inference for one population. Learning activities and methodology. Anwlisis classes with support material taken from the web. Practical classes 2 ECTS: Computing classes in computer halls.

Work assignments in groups. Oral presentations and debates. Tutorial classes before the midterm exam.

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Tutorial classes during the week To pass the course is necessary to obtain a minimum of 4 points over a total of 10 points in the final exam. Johnson y Dean W. Applied multivariate statistical analysis. Editorial Universitaria de Barcelona. Kent eaniel John M. An introduction to multivariate statistical analysis. Principles of multivariate analysis: If you try to connect from outside of the University you will need to set up a VPN.