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.

Author: Talar Shaktitaur
Country: Bahamas
Language: English (Spanish)
Genre: Video
Published (Last): 5 May 2013
Pages: 146
PDF File Size: 17.87 Mb
ePub File Size: 18.62 Mb
ISBN: 583-6-80687-998-2
Downloads: 43381
Price: Free* [*Free Regsitration Required]
Uploader: Dogor

The course syllabus and the academic weekly planning may change due academic events or other reasons. Bachelor in Statistics and Business Department assigned to the subject: Students 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. Acquire skills in multivariate data description.

  INFRAGISTICS ULTRAGRID EXPORT TO PDF

multiivariantes

DANIEL PEÑA – Google 학술검색 서지정보

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 skills 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. 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.

Descriptive analysis of multivariate data. Inference for one population. Learning activities and methodology.

A course in time series analysis

Theoretical 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.

daniel pena | eBay

Tutorial classes before the midterm exam. 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.

  AGADA TANTRA PDF

Applied multivariate statistical analysis. Editorial Universitaria de Barcelona.

Kent y 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.