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This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with their implementation.
This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with raw data and unlock essential information (insights) from data summaries and visualisations.
This innovative textbook and online resource package equips students with the tools needed to develop a working knowledge of finite... Læs mere
In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize... Læs mere
This Element is intended for students and practitioners as a gentle and intuitive... Læs mere
The comprehensive companion website provides an extra helping hand, with practice datasets and a full suite of tutorial videos to help consolidate understanding.This is... Læs mere
Introduces new graph theory techniques for the analysis and integration of multi-type large data sets) in the life sciences. Discussing... Læs mere
Linear Models with Python offers up-to-date insight on essential data analysis topics, from estimation, inference, and prediction to missing data, factorial models, and block designs. Numerous examples illustrate how to apply the different methods using Python
This book is bridging the gap for organisations and individuals who need to learn and use R in a part-time professional context, providing a set of skills to understand the usefulness of graphing, mapping, and modelling in R, using relatable examples throughout.
This book is bridging the gap for organisations and individuals who need to learn and use R in a part-time professional context, providing a set of skills to understand the usefulness of graphing, mapping, and modelling in R, using relatable examples throughout.