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Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical... Læs mere
Combining theory with plenty of practical, technical advice – and accompanied by original case studies and data sets – this book makes sure that students both understand Stata and know exactly what to do to make it meet their needs.
This book focuses on several skew-normal mixed effects models, and systematically explores the statistical inference theories, methods, and applications... Læs mere
This book presents advanced research on smart health technologies, focusing upon the innovative transformations in diagnosis and treatment... Læs mere
The book provides an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions.
The idea of signals and systems arises in different disciplines such as science, engineering, economics, politics and medicine.
Volume 2 of Causal Inference in Marketing: A Practical Toolkit for Panel... Læs mere
This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica (R) computer algebra package. The first... Læs mere
Designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game... Læs mere