Applied Statistics and the SAS Programming Language (5th Ed.) APP STATS SAS PROGRAM LANG _p5
Auteurs : Cody Ron, Smith Jeffrey
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.
Note: All chapters open with an Introduction.
- Chapter 1: A SAS Tutorial
- Chapter 2: Describing Data
- Chapter 3: Analyzing Categorical Data
- Chapter 4: Working with Date and Longitudinal Data
- Chapter 5: Correlation and Simple Regression
- Chapter 6: T-tests and Nonparametric Comparisons
- Chapter 7: Analysis of Variance
- Chapter 8: Repeated Measures Designs
- Chapter 9: Multiple Regression Analysis
- Chapter 10: Factor Analysis
- Chapter 11: Psychometrics
- Chapter 12: The SAS INPUT Statement
- Chapter 13: External Files: Reading and Writing Raw and System Files
- Chapter 14: Data Set Subsetting, Concatenating, Merging, and Updating
- Chapter 15: Working with Arrays
- Chapter 16: Restructuring SAS Data Sets Using Arrays
- Chapter 17: A Review of SAS Functions
- Chapter 18: A Review of SAS Functions
- Chapter 19: Selected Programming Examples
- Chapter 20: Syntax Examples
• 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.
Date de parution : 05-2005
Ouvrage de 600 p.
22.8x3.2 cm
