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Applied Statistics and the SAS Programming Language
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Applied Statistics and the SAS Programming Language

Applied Statistics and the SAS Programming Language

Ron Cody, Jeffrey K. Smith

572 pages, parution le 22/07/2005 (5eme édition)

Résumé

Suitable for use by departments ranging from statistics and Engineering to Psychology and Education when the objective of the course is to learn to use the SAS programming language to perform statistical analysis.

As the SAS© programming language continues to evolve, this new edition follows suit with up-to-date coverage of this combination statistical package, database management system, and high-level programming language. Using examples from business, medicine, education, psychology, and other disciplines, Applied Statistics and the SAS Programming Language is an invaluable resource for both students and applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation.

Features

  • Comprehensive coverage of key SAS elements - Includes the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles.
  • Logical, easy-to-follow examples - Provide readers with ample models for developing programming skills and learning to write their own programs.
  • Highly respected authorship - Lead author Ron Cody, a longtime professor and researcher at the Robert Wood Johnson Medical School, now acts as a private consultant and serves as a national instructor for the SAS Institute. He has authored or coauthored numerous books such as SAS Functions by Example, Cody's Data Cleaning Techniques Using SAS Software, The SAS Workbook, and The SAS Workbook: Solutions.

Sommaire

  • A SAS Tutorial
  • Describing Data
  • Analyzing Categorical Data
  • Working with Date and Longitudinal Data
  • Correlation and Regression
  • T-tests and Nonparametric Comparisons
  • Analysis of Variance
  • Repeated Measures Designs
  • Multiple-Regression Analysis
  • Factor Analysis
  • Psychometrics
  • The SAS INPUT Statement
  • External Files: Reading and Writing Raw and System Files
  • Data Set Subsetting, Concatenating, Merging, and Updating
  • Working with Arrays
  • Restructuring SAS Data Sets Using Arrays
  • A Review of SAS Functions: Part I. Functions other than character functions
  • A Review of SAS Functions: Part II. Character Functions
  • Selected Programming Examples
  • Syntax Examples
  • Problem Solutions
Voir tout
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Caractéristiques techniques

  PAPIER
Éditeur(s) Pearson, Prentice Hall
Auteur(s) Ron Cody, Jeffrey K. Smith
Parution 22/07/2005
Édition  5eme édition
Nb. de pages 572
Format 18 x 23,5
Couverture Broché
Poids 850g
Intérieur Noir et Blanc
EAN13 9780131465329
ISBN13 978-0-13-146532-9

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