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This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to address the computational difficulties in inferences and extensions.
Every high-profile data breach underlines the need for cybersecurity. A proper understanding of threats, vulnerabilities, and most-likely attacks empowers you to make better decisions and mitigate risks.
The final chapter introduces R, MATLAB, and Octave toolboxes for copula modeling, enabling students, researchers, data scientists, and practitioners to model complex dependence structures and make well-informed decisions across various domains.
This book constitutes the proceedings of the 8th International Conference on Mathematical Software, ICMS 2024, held in Durham, UK, during July 22–25, 2024. The 37 full papers presented were carefully reviewed and selected from 46 submissions.
This book constitutes the proceedings of the 29th Annual International... Læs mere
This book systematically addresses the design and analysis of efficient techniques for independent random sampling.
The quantity, diversity and availability of transport data is increasing rapidly, requiring new skills in the management and interrogation of data and databases.
This book provides practical applications of doubly classified models by using R syntax to generate the models. For those who are not aware of this modeling approach, it serves as a good starting point to acquire a basic understanding of doubly classified models.
A practical, accessible guide for using software while doing data analysis in the social sciences, students can learn SPSS on their own, allowing instructors to focus on the concepts and calculations in their lectures, rather than SPSS tutorials.
This book is a self-guided tour of MATLAB for engineers and life scientists. The core programming elements of MATLAB are introduced in three successive chapters on scripts, loops, and conditional logic.