Mathematics and Statistics

About the Book Dieses Buch nimmt den Leser mit auf eine anregende Reise rund um die Welt der Statistik. Auf eine ganz andere Art werden Theorie und...

About the Book This book takes the reader on a journey from familiar high school mathematics to undergraduate algebra and number theory. The journe...

This book provides a self-contained and rigorous introduction to calculus of functions of one variable, in a presentation which emphasizes the stru...

About the Book This textbook provides a rigorous mathematical perspective on error-correcting codes, starting with the basics and progressing throu...

A bridge to the world of mathematics for readers who want to gain a good foundation in basic mathematical skills for research and other activities...

Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious...

This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in o...

This book explains compactly, without theoretical superstructure and with as little mathematical formalism as possible, the essential concepts in t...

This primer on mathematics formalisation provides a rapid, hands-on introduction to proof verification in Lean. After a quick introduction to Lean,...

This textbook provides a succinct introduction to algebraic topology. It follows a modern categorical approach from the beginning and gives ample m...

This book helps the reader make use of the mathematical models of biological phenomena starting from the basics of programming and computer simulat...

This book gives an introduction to discrete-time Markov chains which evolve on a separable metric space. The focus is on the ergodic properties o...

This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on ...

Dieses Buch will dem Leser eine Einführung in wichtige Techniken und Methoden der heutigen reellen Algebra und Geometrie vermitteln. An Voraussetzu...

Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated the...

This textbook describes selected topics in functional analysis as powerful tools of immediate use in many fields within applied mathematics, physic...

Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the e...

This concise and up-to-date textbook provides an accessible introduction to the core concepts of nonlinear dynamics as well as its existing and pot...

This textbook explains the fundamentals of Markov Chain Monte Carlo (MCMC) without assuming advanced knowledge of mathematics and programming. MCM...

Groups and Symmetries: From Finite Groups to Lie Groups presents an introduction to the theory of group representations and its applications in qua...

This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for...

This text provides practical guidance on conducting regression analysis on categorical and count data. Step by step and supported by lots of helpfu...

This book introduces some basic mathematical tools in reaction-diffusion models, with applications to spatial ecology and evolutionary biology. It ...

This self-contained and comprehensive textbook of algebraic number theory is useful for advanced undergraduate and graduate students of mathematics...

This book offers an essential introduction to the theory of Hilbert space, a fundamental tool for non-relativistic quantum mechanics.

This textbook provides a step-by-step introduction to the tools and principles of high-dimensional statistics. Each chapter is complemented by nume...

This book gathers together a colorful set of problems on classical Mathematical Logic, selected from over 30 years of teaching. The initial chapter...

The book also presents three special nonlinear inverse problems in detail: the inverse spectral problem, the inverse problem of electrical impedanc...

This textbook is suitable for a one semester lecture course on differential geometry for students of mathematics or STEM disciplines with a working...

The book provides an introduction to common programming tools and methods in numerical mathematics and scientific computing. Unlike standard approa...

This text is intended for a one-semester course in cryptography at the advanced undergraduate/Master's degree level. It is suitable for students f...

This book presents the basic theoretical concepts of dynamical systems with applications in population dynamics. Existence, uniqueness and stabilit...

Reverse mathematics studies the complexity of proving mathematical theorems and solving mathematical problems. Typical questions include: Can we pr...

Algebraic Geometry is a fascinating branch of Mathematics that combines methods from both Algebra and Geometry. It transcends the limited scope of ...

The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality properti...

This textbook presents a comprehensive treatment of the theory and implementation of inverse methods in the analysis and interpretation of Earth’s ...

The book addresses the rigorous foundations of mathematical analysis. The first part presents a complete discussion of the fundamental topics: a re...

This work is an updated version of a book evolved from courses offered on partial differential equations (PDEs) over the last several years at the ...

Introduce your students to the art and science of learning from data. Statistics: The Art and Science of Learning from Data, Global Edition, 5th ed...

Introductory courses in combinatorial optimization are popular at the upper undergraduate/graduate levels in computer science, industrial engineeri...

This second edition textbook offers a practical introduction to probability for undergraduates at all levels with different backgrounds and views t...

This book introduces the basic methodologies for successful data analytics. The methodological overlap between data science and machine learning is...

This textbook explores the foundations of real analysis using the framework of general ordered fields, demonstrating the multifaceted nature of the...

This concise textbook introduces the reader to advanced mathematical aspects of general relativity, covering topics like Penrose diagrams, causalit...

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

This book introduces a class of alignment models based on the so-called Cucker-Smale system as well as its kinetic and hydrodynamic counterparts. C...