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Statistical Programming in SAS by A. John Bailer (2019, Trade Paperback)

umas-31
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Located in: State College, Pennsylvania, United States
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eBay item number:354974908461
Last updated on 12 Aug, 2023 03:34:54 BSTView all revisionsView all revisions

Item specifics

Condition
Like New: A book that has been read, but looks new. The book cover has no visible wear, and the dust ...
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
Author
A. John Bailer
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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    Item as described and functions well. Quick shipping and well packed. Thanks!
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    The computer arrived quickly and in perfect condition. The seller was straightforward to work with and shipped the package immediately in a well-protected box. I hope to do more business with him in the future.
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    As described and fast shipping. Thanks 🙏🏾