Bokus
A. John Bailer - Statistical Programming in SAS, Inbunden

Inbunden, Engelska, 2019

Statistical Programming in SAS

Av A. John Bailer

3047 kr

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Beskrivning
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 includesGetting data into the SAS system, engineering new features, and formatting variablesWriting readable and well-documented codeStructuring, implementing, and debugging programs that are well documentedCreating solutions to novel problemsCombining data sources, extracting parts of data sets, and reshaping data sets as needed for other analysesGenerating general solutions using macrosCustomizing outputProducing insight-inspiring data visualizationsParsing, processing, and analyzing textProgramming solutions using matrices and connecting to RProcessing textProgramming with matricesConnecting SAS with RCovering topics that are part of both base and certification exams.
Produktinformation
  • Utgivningsdatum: 2019-12-02
  • Mått: 178 x 254 x 25 mm
  • Vikt: 888 g
  • Format: Inbunden
  • Språk: Engelska
  • Antal sidor: 362
  • Upplaga: 2
  • Förlag: Taylor & Francis Ltd
  • ISBN: 9780367358006
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Mer om författaren

A. John Bailer, PhD, PStat®, is a University Distinguished Professor and a founding chair of the Department of Statistics and an affiliate member of the Departments of Biology and Sociology and Gerontology as well as the Institute for the Environment and Sustainability at the Miami University in Oxford, Ohio. He is President of the International Statistical Institute (2019–2021). He previously served on the Board of Directors of the American Statistical Association. He is a Fellow of the American Statistical Association, the Society for Risk Analysis, and the American Association for the Advancement of Science. His research has focused on the quantitative risk estimation but has collaborations addressing problems in toxicology, environmental health, and occupational safety. He received the E. Phillips Knox Distinguished Teaching Award in 2018 after previously receiving the Distinguished Teaching Award for Excellence in Graduate Instruction and Mentoring and the College of Arts and Science Distinguished Teaching Award. He is also the co-founder and continuing panelist on the Stats+Stories podcast (www.statsandstories.net).

Recensioner i media

"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

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