Titre : |
SAS/STAT 9.1: user's guide: volume 6 |
Type de document : |
livre |
Auteurs : |
SAS_Institute |
Editeur : |
Cary : SAS Publishing |
Année de publication : |
2004 |
Importance : |
744 p. |
ISBN/ISSN/EAN : |
1-59047-243-8f |
Note générale : |
Pagination discontinue (pp. 3797-4541) |
Langues : |
Anglais (eng) |
Mots-clés : |
SAS/STAT Statistical analysis |
Résumé : |
SAS/STAT software provides extensive statistical capabilities with tools for both specialized and enterprise-wide analytical needs. It can help you analyze data and make informed decisions for research, engineering, manufacturing, medical, and business applications. This user's guide provides the latest, detailed reference material for the procedures in SAS/STAT, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, nonparametric analysis, and survey data analysis. Also included are syntax and usage information, examples, and a discussion of the use of the Output Delivery System with the statistical software. New chapters for SAS 9.1 describe software for power and sample size computations, robust regression, multiple imputation, crosstabulations, table analysis, and logistic regression for survey data. Many other chapters have been updated with SAS 9.1 enhancements. |
En ligne : |
http://books.google.com/books?id=2oEQyOIyCbUC&pg=PP1&dq=SAS/STAT+9.1+User%27s+Gu [...] |
SAS/STAT 9.1: user's guide: volume 6 [livre] / SAS_Institute . - Cary : SAS Publishing, 2004 . - 744 p. ISSN : 1-59047-243-8f Pagination discontinue (pp. 3797-4541) Langues : Anglais ( eng)
Mots-clés : |
SAS/STAT Statistical analysis |
Résumé : |
SAS/STAT software provides extensive statistical capabilities with tools for both specialized and enterprise-wide analytical needs. It can help you analyze data and make informed decisions for research, engineering, manufacturing, medical, and business applications. This user's guide provides the latest, detailed reference material for the procedures in SAS/STAT, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, nonparametric analysis, and survey data analysis. Also included are syntax and usage information, examples, and a discussion of the use of the Output Delivery System with the statistical software. New chapters for SAS 9.1 describe software for power and sample size computations, robust regression, multiple imputation, crosstabulations, table analysis, and logistic regression for survey data. Many other chapters have been updated with SAS 9.1 enhancements. |
En ligne : |
http://books.google.com/books?id=2oEQyOIyCbUC&pg=PP1&dq=SAS/STAT+9.1+User%27s+Gu [...] |
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