SAS Certification Prep Guide : Statistical Business Analysis Using SAS9

Joni N. Shreve

ISBN 10: 1629603813 / ISBN 13: 9781629603810

Editore: SAS Institute, 2018

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nach der Bestellung gedruckt Neuware - Printed after ordering - Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam!Written for both new and experienced SAS programmers, the SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9 is an in-depth prep guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam.The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader's comprehension of the material presented.Major topics include:ANOVALinear RegressionLogistic RegressionInputs for Predictive ModelingModel PerformanceFor those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics.Appendices can be found here.

Codice articolo 9781629603810

Dati bibliografici

• Titolo: SAS Certification Prep Guide : Statistical Business Analysis Using SAS9
• Editore: SAS Institute
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1629603813
• ISBN 13: 9781629603810
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 280 L x 210 A x 23 P (millimetri) 280 millimetri di larghezza per 210 millimetri di altezza per 23 millimetri di profondità
• Peso: 1008 grammi

Descrizione articolo

Riassunto

Must-have study guide for the SAS Certified Statistical Business Analyst Using SAS9: Regression and Modeling exam!

Written for both new and experienced SAS programmers, the SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9 is an in-depth prep guide for the SAS Certified Statistical Business Analyst Using SAS9: Regression and Modeling exam.

The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader’s comprehension of the material presented.

Major topics include:

• ANOVA
• Linear Regression
• Logistic Regression
• Inputs for Predictive Modeling
• Model Performance

For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics.

L'autore

Joni Shreve, PhD, is a senior instructor in the Stephenson Department of Entrepreneurship and Information Systems at Louisiana State University (LSU), where she has taught for more than 20 years. Dr. Shreve has been at the forefront of analytics education since 2011, when the LSU Master of Science in Analytics (MSA) program was established with support from SAS. She has been instrumental in its success, serving as director of the analytics program from 2014 to 2017. Dr. Shreve has won several teaching awards, including the 2014 Outstanding Faculty Member of the MSA program and the 2018 SAS Distinguished Professor Award from SAS Institute. Her research interests include data mining and classification analysis. In 2013, she established the Student Symposium hosted during the annual South Central SAS Users Group (SCSUG) Educational Forum, which provides students from Louisiana State University, Oklahoma State University, and the University of Alabama an opportunity to showcase their analytical skills and gain valuable feedback from industry experts. She has also served on the SCSUG Executive Committee and is a member of the 2018 and 2019 SAS Global Forum Content Delivery Team. Dr. Shreve has a PhD in Educational Psychology with an emphasis in quantitative methods and an MS in Statistics, both from the University of Georgia at Athens, and a BS in Mathematics from Louisiana State University.