Название: Computational Statistics in Java, 2nd Edition
Автор: Daniel Furtado Ferreira
Издательство: Lavras - MG
Год: 2025
Страниц: 693
Язык: английский
Формат: pdf
Размер: 17.3 MB
In this book, we aimed to address the topic of computational statistics, which is so important for the scientific community and, especially, for students in graduate programs in statistics. We can confidently state that computational statistics has become, and currently is, one of the main areas of statistics. Moreover, the knowledge in this area can be, and often is, applied in other fields of statistics, engineering, and physics. Bayesian inference is a typical example where a computational approach is generally used. When we conceived this book, we had many doubts about what to cover and how to approach each chosen topic. Thus, we opted to write a book that would allow the reader to go beyond a simple set of instructions, without getting lost in a maze of proofs. On the other hand, we sought to present models and methods in a comprehensive and non-restrictive manner. Wishing to deepen our knowledge of the wonderful programming language Java, we sought to write numerous methods and classes for the various topics covered in this work. We hope this book becomes a good option for professionals in computational statistics and can also be adopted in undergraduate and graduate statistics courses as a textbook for computational statistics. Java is an excellent high-level language that allows us to work with high numerical precision. Thus, we will assume that the reader already has some prior knowledge of the Java language.
