Course detail

LCE5871 - Residence in Statistical Analysis


Credit hours

In-class work
per week
Practice
per week
Credits
Duration
Total
1
2
4
15 weeks
60 hours

Instructor
Carlos Tadeu dos Santos Dias
Gabriel Adrian Sarries
Sonia Maria de Stefano Piedade

Objective
Offer to students of the program in Statistics and Agricultural Experimentation the opportunity of stay in direct contact with real problems involved in the application of statistical methods. Develop methods to solve problems and questions of the statistical procedures applied to academia as regards the use and dissemination of applied statistics techniques.

Content
The students will participate in academic activities with a teacher of the graduate program in Statistics and Agricultural Experimentation, as regards the solution of problems in the area. The student registered will be assigned a problem, so he/she can develop and present solutions. The demand will come from other campus graduate programs Luiz de Queiroz as well as other educational or research institutions of the country, which is picked up by the LSA – laboratory in statistical analysis, within their work protocol.

Bibliography
An Introduction to R. Notes on R: A Programming Environment for Data Analysis and Graphics. Version 2.10.1 (2009-12-14)
Barbin, Décio, Planejamento e análise de experimentos agronômicos. Arapongas Midas, 2003. 208p.
Bryan J.F. Métodos Estatísticos Multivariados: Uma Introdução, 230 páginas, 2008. Consultoria, supervisão e revisão técnica de Carlos Tadeu dos Santos Dias.
Dean, A.M., Voss, D.T. Design and Analysis of Experiments. Springer texts in Statistics, 1999. 512p.
Klaus Hinkelmann, Oscar KempthorneDesign and Analysis of Experiments, Second Edition Series: Wiley Series in Probability and Statistics Published Online: 30 Apr 2010 Print ISBN: 9780471727569 Online ISBN: 9780470191750 DOI: 10.1002/9780470191750 Copyright © 2010 John Wiley & Sons, Inc. All rights reserved.
Milliken, G.A. Analysis of Messy Data. Designed Experiments. Chapman & Hall/CRC. 2008. 436p
Milliken, G.A., Johnson, D.E. Analysis of Messy Data. Volume II: Nonreplicated Experiments. 1989. 208p.
Milliken, G.A., Johnson, D.E. Analysis of Messy Data. Volume III:Analysis of Covariance. Chapman & Hall/CRC. 2002. 515p.
SAS Institute Inc. 2004. SAS/IML 9.1 User’s Guide. Cary, NC: SAS Institute Inc.
SAS Institute Inc. 1994. SAS/STAT Version 6, Volume 1. Fourth Edition. User’s Guide. Cary, NC: SAS Institute Inc.
SAS Institute Inc. 1995. SAS/Guide to Macro Processing. Version 6, Second Edition. User’s Guide. Cary, NC: SAS Institute Inc.
SAS Institute Inc. 1995. SAS/Language. Version 6, First Edition. User’s Guide. Cary, NC: SAS Institute Inc.
SAS Institute Inc. 1990. SAS/STAT Version 6, First Edition. User’s Guide. Cary, NC: SAS Institute Inc.
SAS Institute Inc. 1994. SAS/STAT Version 6, Volume 2. Fourth Edition. User’s Guide. Cary, NC: SAS Institute Inc.
Residência: SAS -Statistical Analysis System. Institute Inc. 2010. SAS/STAT Version 9.3, Cary, NC: SAS