
Categorical Data Analysis Using SAS, Third Edition - Paperback
$119.99
$129.95
-8%Quantity
01
Pay over time for orders over $35.00 with
Offers & Perks
Earn 119 points with this purchase
Added to your rewards balance after checkout.
100 points welcome bonus
Create an account and start with extra points.
Availability:In StockContributor:Maura E. Stokes, Charles S. Davis, Gary G. KochPublish date:2012-07-31Pages:590
Languages:EnglishPublisher:SAS InstituteISBN-13:9781607646648ISBN-10:1607646641UPC:9781607646648Book Category:Mathematics, ComputersBook Subcategory:Probability & Statistics, Mathematical & Statistical SoftwareSize:11.00 x 8.25 x 1.19 inchesWeight:2.88Product ID:SCNDVSST88
Statisticians and researchers will find this book, newly updated for SAS/STAT 12.1, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS.
Languages:EnglishPublisher:SAS InstituteISBN-13:9781607646648ISBN-10:1607646641UPC:9781607646648Book Category:Mathematics, ComputersBook Subcategory:Probability & Statistics, Mathematical & Statistical SoftwareSize:11.00 x 8.25 x 1.19 inchesWeight:2.88Product ID:SCNDVSST88
Stokes, Maura E.: - Maura E. Stokes is a Senior R&D Director at SAS Institute. She received her DrPH in biostatistics from the University of North Carolina at Chapel Hill and has taught and written about categorical data analysis for over twenty-five years. She is a Fellow of the American Statistical Association.Koch, Gary G.: - Gary G. Koch is Professor of Biostatistics and Director of the Biometrics Consulting Laboratory at the University of North Carolina at Chapel Hill. He has had a prominent role in the field of categorical data analysis for the last forty-five years. He teaches classes and seminars in categorical data analysis, consults in areas of statistical practice, conducts research, and trains many Biostatistics students.
Publisher: SAS Institute
Edition
3rd Edition
Contributor(s)
Authors
Free shipping on orders over $75. Standard shipping takes 3-7 business days. Eligible items may be returned within 30 days of delivery. Conditions apply.
