Since their introduction, hierarchical generalized linear models (HGLMs) have proven useful in va...

The programming language Fortran dates back to 1957 when a team of IBM engineers released the fir...

Integrating ideas from the fields of systems science and knowledge science, Knowledge and Systems...

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data a...

The composition of portfolios is one of the most fundamental and important methods in financial e...

Multigrid methods are among the most efficient iterative methods for the solution of linear syste...

Differential Geometry of Manifolds, Second Edition presents the extension of differential geometr...

Up-to-Date Coverage of the Navier-Stokes Equation from an Expert in Harmonic AnalysisThe complete...

Of the two primary approaches to the classic source separation problem, only one does not impose ...

This book provides a comprehensive overview of music data analysis, from introductory material to...

Introduction to the Theory of Optimization in Euclidean Space is intended to provide students wit...

Monomial Algebras, Second Edition presents algebraic, combinatorial, and computational methods fo...

Expounding on the results of the author's work with the US Army Research Office, DARPA, the Offic...

Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mecha...

Trying to read up on statistics can be like trying to decide where you want to start eating the ...

At the heart of modern cryptographic algorithms lies computational number theory. Whether you're ...

The Handbook of Homotopy Theory provides a panoramic view of an active area in mathematics that i...

Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that d...

The book gives an up-to-date account of various approaches availablefor the analysis of infectiou...

Theory of Drug Development presents a formal quantitative framework for understanding drug develo...

The role of the chemical reactor is crucial for the industrial conversion of raw materials into p...

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and app...

Absolute Risk: Methods and Applications in Clinical Management and Public Health provides theory ...

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interes...

A First Course in Fuzzy Logic, Fourth Edition is an expanded version of the successful third edit...

The number of innovative applications of randomization tests in various fields and recent develop...

Mathematics is the basis of casino games, which are the bedrock of a $100 billion year industry. ...

'A stereotype of computer science textbooks is that they are dry, boring, and sometimes even inti...

Bayesian adaptive designs provide a critical approach to improve the efficiency and success of dr...

A conceptually clear induction to fundamental analysis theorems, a tutorial for creative approach...

It is beyond trite to say that technology is prevalent in our daily lives. However, many of us re...

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resour...

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

The subject of this book is applied Bayesian methods for chemistry, manufacturing, and control (C...

Introduction to Financial Derivatives with Python is an ideal textbook for an undergraduate cours...

Nonpharmacological treatments include a wide variety of treatments such as surgery, technical pro...

Computer Systems Architecture provides IT professionals and students with the necessary understan...

Abstract Algebra: A Gentle Introduction advantages a trend in mathematics textbook publishing tow...

A properly structured financial model can provide decision makers with a powerful planning tool t...

There is no shortage of incentives to study and reduce poverty in our societies. Poverty is studi...

The Art of Proving Binomial Identities accomplishes two goals: (1) It provides a unified treatmen...

Introduction to Financial Mathematics: Option Valuation, Second Edition is a well-rounded primer ...

Since the publication of the first edition over 30 years ago, the literature related to Pareto di...

Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods...

In Mathematical Analysis and Optimization for Economists, the author aims to introduce students o...

Integrating interesting and widely used concepts of financial engineering into traditional statis...

The last two decades have seen enormous developments in statistical methods for incomplete data. ...

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