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Statistical Programming in SAS by A. John Bailer (2019, Trade Paperback)
US $20.00
Approximately£14.87
Condition:
Like New
A book that has been read, but looks new. The book cover has no visible wear, and the dust jacket (if applicable) is included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins. May have no identifying marks on the inside cover. No wear and tear. See the seller’s listing for full details and description of any imperfections.
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Postage:
US $5.97 (approx £4.44) USPS Media MailTM.
Located in: State College, Pennsylvania, United States
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Estimated between Thu, 14 Aug and Wed, 20 Aug to 94104
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eBay item number:354974908461
Item specifics
- Condition
- Subject
- Statistics
- ISBN
- 9780367357979
About this product
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
0367357976
ISBN-13
9780367357979
eBay Product ID (ePID)
7038265499
Product Key Features
Number of Pages
378 Pages
Publication Name
Statistical Programming in Sas
Language
English
Publication Year
2019
Subject
Probability & Statistics / General, Statistics
Type
Textbook
Subject Area
Mathematics, Social Science, Business & Economics
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
24.1 Oz
Item Length
10 in
Item Width
7.4 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
Reviews
"This book is useful for people who want to learn SAS programing, and assumes the students have knowledge of multiple linear regression and one-way ANOVA models....The second edition has added a chapter on text processing, and reorganized the chapter order...Some topics that are relevant for the SAS Base and Certifications exams are covered, and a nice feature is the highlighting of programing tips in gray." ~Technometrics "This is a very complete book for programming SAS in statistical analyses. This second edition offers the possibility to debug some programs and provides new examples and applications, which are very useful. This book is a very useful companion tool for students or beginners in SAS, or for more experienced statisticians who already use SAS for statistical analyses." ~ISCB News
Illustrated
Yes
Synopsis
Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40 years. The author includes motivating examples to inspire readers to generate programming solutions. Upper-level undergraduates, beginning graduate students, and professionals involved in generating programming solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and introductory experience with computer programming. The coverage of statistical programming in the second edition includes Getting data into the SAS system, engineering new features, and formatting variables Writing readable and well-documented code Structuring, implementing, and debugging programs that are well documented Creating solutions to novel problems Combining data sources, extracting parts of data sets, and reshaping data sets as needed for other analyses Generating general solutions using macros Customizing output Producing insight-inspiring data visualizations Parsing, processing, and analyzing text Programming solutions using matrices and connecting to R Processing text Programming with matrices Connecting SAS with R Covering topics that are part of both base and certification exams., The book focuses on good programming and coding practice for producing data sets for later analyses, using simulation studies to explore statistical concepts and employing computationally intensive methods. Many of the topics included in the SAS Base Certification exam are included in this book., Statistical Programming in SAS Second Edition provides a foundation for programming to implement statistical solutions using SAS, a system that has been used to solve data analytic problems for more than 40years. The author includes motivating examples to inspire readers to generate programming solutions. Upper-level undergraduates, beginning graduate students, and professionals involved in generating programming solutions for data-analytic problems will benefit from this book. The ideal background for a reader is some background in regression modeling and introductory experience with computer programming. The coverage of statistical programming in the second edition includes Getting data into the SAS system, engineering new features, and formatting variables Writing readable and well-documented code Structuring, implementing, and debugging programs that are well documented Creating solutions to novel problems Combining data sources, extracting parts of data sets, and reshaping data sets as needed for other analyses Generating general solutions using macros Customizing output Producing insight-inspiring data visualizations Parsing, processing, and analyzing text Programming solutions using matrices and connecting to R Processing text Programming with matrices Connecting SAS with R Covering topics that are part of both base and certification exams.
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