Accessible to all students with a sound background in high school mathematics, A Concise Introduc...

This book collects and synthesizes the latest thinking on the condition in its variety of cogniti...

This title demystifies artificial intelligence (AI) and analytics, upskilling individuals (health...

One of the greatest changes in the sports world in the past 20 years has been the use of mathemat...

Praise for the Second Edition: 'The author has done his homework on the statistical tools needed ...

Since 1973, Galois theory has been educating undergraduate students on Galois groups and classica...

Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth un...

This classic text appears here in a new edition for the first time in four decades. The new editi...

The original goal of writing this book was to introduce the reader to the tools of combinatorics ...

Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essen...

Transformers are becoming a core part of many neural network architectures, employed in a wide ra...

Since the first edition of this book published, Bayesian networks have become even more important...

Most medical researchers, whether clinical or non-clinical, receive some background in statistics...

Praise for previous editions:'Gandrud has written a great outline of how a fully reproducible res...

Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Editi...

This book provides a general introduction to the R Commander graphical user interface (GUI) to R ...

Praise for the First Edition: '. . . the book serves as an excellent tutorial on the R language, ...

This book brings together a variety of probability applications through entertaining stories that...

Theory of Spatial Statistics: A Concise Introduction presents the most  important models used in ...

Cohesively Incorporates Statistical Theory with R Implementation Since the publication of the pop...

It is impossible to control another person's motivation. But much of the instructor's job involve...

The history of robotics and artificial intelligence in many ways is also the history of humanity'...

Typically, undergraduates see real analysis as one of the most di cult courses that a mathematics...

The book's website (with databases and other support materials) can be accessed here. Praise for ...

Exploring Linear Algebra: Labs and Projects with MATLAB® is a hands-on lab manual that can be use...

Cloud computing-accessing computing resources over the Internet-is rapidly changing the landscape...

This book describes the properties of stochastic probabilistic models and develops the applied ma...

''A voluminous encyclopedia of Tethyan geology and, as such, itprovides an invaluable source of i...

This is an introductory single-term numerical analysis text with a modern scientific computing fl...

Theory of Statistical Inference is designed as a reference on statistical inference for researche...

Machine learning has redefined the way we work with data and is increasingly becoming an indispen...

Praise for the first edition: 'This book would be especially good for the shelf of anyone who alr...

The idea of using functionals of Information Theory, such as entropies or divergences, in statist...

Developed from the author's course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic...

Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to ...

Research in social and behavioral sciences has benefited from linear regression models (LRMs) for...

Linear Algebra, James R. Kirkwood and Bessie H. Kirkwood, 978-1-4987-7685-1, K29751 Shelving Guid...

From the Foreword: 'Dietmar Hildenbrand's new book, Introduction to Geometric Algebra Computing, ...

R for Political Data Science: A Practical Guide is a handbook for political scientists new to R w...

An integrated textbook of medical neuroscience, this book will make a coherent presentation of an...

The main aim of Healthcare 4.0: Health Informatics and Precision Data Management is to improve th...

The book contains the main results of class field theory and Artin L functions, both for number f...

Applied Differential Equations with Boundary Value Problems presents a contemporary treatment of ...

Statistics has developed as a field through seminal ideas and fascinating controversies. Seminal ...

Principles of Copula Theory explores the state of the art on copulas and provides you with the fo...

The main focus of this book is disseminating research results regarding the pencil of ellipses in...

Those who work in allied health professions and education aim to make people's lives better. Ofte...

Fixed Point Results in W-Distance Spaces is a self-contained and comprehensive reference for adva...