Математика

An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field Following…

A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytica…

A practical and clarifying approach to aging and aging-related diseases Providing a thorough and extensive theoretical framework, The Biostatistics of…

Praise for the First Edition “This excellent text should prove a useful accoutrement for any developing mathematics program . . . it’s short, it’s swe…

Explore the foundations and modern applications of Galois theory Galois theory is widely regarded as one of the most elegant areas of mathematics. A C…

An essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning Ensemble Classification Methods with Appl…

Decision theory provides a formal framework for making logical choices in the face of uncertainty. Given a set of alternatives, a set of consequences,…

Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Searc…

Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most pow…

A balanced guide to the essential techniques for solving elliptic partial differential equations Numerical Analysis of Partial Differential Equations …

Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof Long memory time s…

Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both t…

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from lea…

Praise for the First Edition «The attention to detail is impressive. The book is very well written and the author is extremely careful with his descri…

Introduces the graphical capabilities of R to readers new to the software Due to its flexibility and availability, R has become the computing software…

Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance, neuroscience, ne…

The presentation of a novel theory in orthogonal regression The literature about neural-based algorithms is often dedicated to principal component ana…

Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optim…

Learn the skills and acquire the intuition to assess the theoretical limitations of computer programming Offering an accessible approach to the topic,…

This book provides a comprehensive introduction to actuarial mathematics, covering both deterministic and stochastic models of life contingencies, as …

Standardizes the definition and framework of analytics ABOK stands for Analytics Body of Knowledge. Based on the authors’ definition of analytics—whic…

This book presents an introduction to MCDA followed by more detailed chapters about each of the leading methods used in this field. Comparison of meth…

Praise for the First Edition “…a well-written book on data analysis and data mining that provides an excellent foundation…” —CHOICE “This is a must-re…

Winner of the 2012 PROSE Award for Mathematics from The American Publishers Awards for Professional and Scholarly Excellence. «A great book, one that …

Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel …

Solve engineering and scientific partial differential equation applications using the PDE2D software developed by the author Solving Partial Different…

Develops the theory of jet single-time Lagrange geometry and presents modern-day applications Jet Single-Time Lagrange Geometry and Its Applications g…

“…a very useful resource for courses in nonparametric statistics in which the emphasis is on applications rather than on theory. It also deserves a pl…

An authoritative and quantitative approach to modern game theory with applications from economics, political science, military science, and finance Ma…

We all face risks in a variety of ways, as individuals, businesses and societies. The discipline of risk assessment and risk management is growing rap…

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Ana…

Provides an introduction to basic structures of probability with a view towards applications in information technology A First Course in Probability a…

Praise for the First Edition «. . .will certainly fascinate anyone interested in abstract algebra: a remarkable book!» —Monatshefte fur Mathematik Gal…

Combinatorial problems based on graph partitioning enable us to mathematically represent and model many practical applications. Mission planning and t…

Introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples …

Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics. Illustrated throughout with examples in econom…

A state-of-the-art presentation of optimum spatio-temporal sampling design – bridging classic ideas with modern statistical modeling concepts and the …

Praise for the Second Edition «This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good person…

A highly accessible alternative approach to basic statistics Praise for the First Edition: «Certainly one of the most impressive little paperback 200-…

How do you draw a map of 100,000 places, of more than a million flows of people, of changes over time and space, of different kinds of spaces, surface…

A comprehensive resource that offers an introduction to statistics with a Bayesian angle, for students of professional disciplines like engineering an…

It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even m…

Foundations of Risk Analysis presents the issues core to risk analysis – understanding what risk means, expressing risk, building risk models, address…

This book aims to enable readers to understand and implement, via the widely used statistical software package Minitab (Release 16), statistical metho…

A systematic and integrated approach to Cantor Sets and their applications to various branches of mathematics The Elements of Cantor Sets: With Applic…