Mathematics and Statistics

About the Book The Untold Story of Everything Digital: Bright Boys, Revisited celebrates the 70th anniversary (1949-2019) of the world "going digit...

About the Book Praise for the First Edition: ". . . the book serves as an excellent tutorial on the R language, providing examples that illustrate ...

About the Book Presenting the proceedings of the conference on Sturm-Liouville problems held in conjunction with the 26th Barrett Memorial Lecture ...

Python Programming for Mathematics focuses on the practical use of the Python language in a range of different areas of mathematics. Through fifty-...

About the Book Provides a picture of the research that has occurred and the techniques that have been involved in studying Prufer domains since abo...

About the Book Probability and Statistics for Data Science: Math + R + Data covers "math stat"--distributions, expected value, estimation etc.--but...

About the Book Praise for the Second Edition: "The author has done his homework on the statistical tools needed for the particular challenges compu...

Multivariate Statistical Methods: A Primer offers an introduction to multivariate statistical methods in a rigorous yet intuitive way, without an ...

About the Book Based on the proceedings of the conference held at the University of Iowa, in honour and celebration of the mathematician T.G. Ostro...

About the Book Attempts to unite the fields of mathematical logic and general algebra. Presents a collection of refereed papers inspired by the Int...

Learning a computer language like R can be either frustrating, fun or boring. Having fun requires challenges that wake up the learner’s curiosity b...

Introduction to Computational Engineering with MATLAB® aims to teach readers how to use MATLAB programming to solve numerical engineering problems....

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especial...

The aim of this book is to lead the reader out from the ordinary routine of computing and calculating by engaging in a more dynamic process of lear...

This unique book presents decision analysis in the context of mathematical modeling and game theory. The author emphasizes and focuses on the model...

About the Book These days, computer-based simulation is considered the quintessential approach to exploring new ideas in the different disciplines ...

About the Book Praise for the first edition: "One of my biggest complaints when I teach introductory statistics classes is that it takes me most of...

About the Book Problem Solving is essential to solve real-world problems. Advanced Problem Solving with Maple: A First Course applies the mathemati...

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is ...

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What do...

Model theory is one of the central branches of mathematical logic. The field has evolved rapidly in the last few decades. This book is an introduct...

This book was developed to address a need. Quantitative Literacy courses have been established in the mathematics curriculum for decades now. The s...

Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences: With jamovi is an introductory textbook for learning ...

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, Computation, and...

Written for pre-service and in-service educators as well as parents of children in pre-school through grade 5, this book connects research in cogni...