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A Handbook of Statistical Graphics Using SAS ODS (Paperback) Loot Price: R2,097
Discovery Miles 20 970
A Handbook of Statistical Graphics Using SAS ODS (Paperback): Geoff Der, Brian Everitt

A Handbook of Statistical Graphics Using SAS ODS (Paperback)

Geoff Der, Brian Everitt

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Loot Price R2,097 Discovery Miles 20 970 | Repayment Terms: R197 pm x 12*

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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.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: September 2019
First published: 2015
Authors: Geoff Der • Brian Everitt
Dimensions: 234 x 156mm (L x W)
Format: Paperback
Pages: 244
ISBN-13: 978-0-367-37842-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Biology, life sciences > General
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LSN: 0-367-37842-6
Barcode: 9780367378424

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