Business Intelligence, Analytics, and Data Science: A Managerial Perspective
Condition Notes: A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear.
Statistical Methods for Survival Data Analysis, 4th Edition (… by Lee Hardback
Book Binding:Hardback. Multiple types of two-sample and K-sample comparison analysis. Marginal and random effect models for analyzing correlated censored or uncensored data. Praise for theThird Edition.
Adventures in Social Research: Data Analysis Using IBM® SPSS® Sta – GOOD
Adventures in Social Research: Data Analysis Using IBM® SPSS® Sta – GOOD Product Id:150636277X Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc…
Hierarchical Linear Models: Applications and Data Analysis Methods – GOOD
“Hierarchical Linear Models: Applications and Data Analysis Methods” by Anthony S. Bryk and Stephen W. Raudenbush is a comprehensive textbook in the field of mathematics and social science. Published in 2001 by SAGE Publications, this revised edition provides detailed methods for analyzing hierarchical linear models. With 512 pages and written in English, this book is a valuable resource for researchers and students looking to advance their quantitative techniques in the social sciences. The book covers a range of topics related to probability and statistics, making it a crucial addition to any library focused on research methods.