Handbook of Statistical Graphics Using SAS ODS

Regular price €77.99
A01=Brian Everitt
A01=Geoff Der
Author_Brian Everitt
Author_Geoff Der
Breast Cancer Data
Category=PBT
Correspondence Analysis
Cox Snell Residuals
eq_isMigrated=1
eq_isMigrated=2
Estimated Survivor Functions
Fin Lan
Graphical Methods For Statisticians
Graphics Capabilities Of Sas
Graphics For Diagnosing Fitted Models
Graphics For Exploring Data
Graphics In Statistical Analysis
Hazard Function
Interpret Fitted Statistical Models
Kaplan Meier Estimator
Log Survival Times
Maximum Head Breadth
Mosaic Plot
Multiple Linear Regression
Ods Graphics
Parameter DF Estimate Standard
Pe Rc
Proc Freq
Proc Phreg Data
Proc Sgpanel
Proc Sgpanel Data
Proc Sgplot
Proc Sgplot Data
Proc Sgscatter
Quadratic Time Effects
Ra Te
Sas Ods Graphics System
Scatterplot Matrix
Use Sas To Produce Your Graphics
Watering Levels

Product details

  • ISBN 9780367378424
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Easily Use SAS to Produce Your Graphics

Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4.

The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures.

Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.

Der, Geoff; Everitt, Brian