Statistical Programming in SAS - Couverture souple

Bailer, A. John

Couverture souple

ISBN 10 : 0367357976 ISBN 13 : 9780367357979

Editeur : Chapman and Hall/CRC, 2019

Synopsis

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.

A propos du livre

À propos de l?auteur

A. John Bailer, PhD, PStat(R), 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).

Détails de l'édition

• Éditeur: Chapman and Hall/CRC
• Date d'édition: 2019
• Langue: anglais
• ISBN 10: 0367357976
• ISBN 13: 9780367357979
• Reliure: Broché
• Numéro d'édition: 2
• Nombre de pages: 378
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible