Hot on the heals of the award-winning and best selling Discovering Statistics Using SPSS, Third Edition, Andy Field has teamed up with Jeremy Miles (co-author of Discovering Statistics Using SAS) to write Discovering Statistics Using R. Keeping the uniquely humorous and self-dep…
by Meilgaard, Morten, Civille, Gail Vance, Carr, B. Thomas
Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis pr…
MATLAB is an interactive system for numerical computation that is widely used for teaching and research in industry and academia. It provides a modern programming language and problem solving environment, with powerful data structures, customizable graphics, and easy-to-use edit…
The fast and easy way to make sense of statistics for big data Does the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspirin…
Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regressio…
Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of pr…
by Robert, Christian P., Casella, George
fromSpringer Texts in Statistics
This textbook offers worked examples and exercises. The authors discuss Monte Carlo optimization and convergence diagnostics, going through many relevant references.
Textformat="02"] A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINTAB, SAS, SPSS, and SYSTAT. In each chapter, the basic model and its nume
Praise for the first edition: "This book provides a good introduction to R, using a clear layout and detailed, reproducible examples. An ideal tool for any new R user ... A wide range of topics are covered, making the book suitable for a variety of readers, from undergraduate st…
