Математика

This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the lat…

Praise for the Fourth Edition: «This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable …

This edited book is divided into three parts: Fundamentals of Medical and Health Sciences Modeling and Simulation introduces modeling and simulation i…

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

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

The easy way to conquer calculus Calculus is hard—no doubt about it—and students often need help understanding or retaining the key concepts covered i…

Demonstrates the application of DSM to solve a broad range of operator equations The dynamical systems method (DSM) is a powerful computational method…

THE COMPLETE COLLECTION NECESSARY FOR A CONCRETE UNDERSTANDING OF PROBABILITY Written in a clear, accessible, and comprehensive manner, the Handbook o…

New Edition of a Classic Guide to Statistical Applications in the Biomedical Sciences In the last decade, there have been significant changes in the w…

Praise for the Second Edition «This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight…

What are the chances? Find out in this entertaining exploration ofprobabilities in our everyday lives “If there is anything you want to know, or remin…

This book bridges the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning …

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists…

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…

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

A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are nec…

“…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…

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data Online auctions are an increasingly importa…

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

In the real world, there are numerous and various events that occur on and alongside networks, including the occurrence of traffic accidents on highwa…

Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data bu…

This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: pr…

A systematic introduction to the theories and formulations of the explicit finite element method As numerical technology continues to grow and evolve …

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

This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most…

An accessible guide to developing intuition and skills for solving mathematical problems in the physical sciences and engineering Equations play a cen…

The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades…

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…

Praise for the First Edition «. . . a readable, comprehensive volume that . . . belongs on the desk, close at hand, of any serious researcher or pract…

A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Stein-type estimators with applications Theory of Ridge Regressio…

This classic work is now available in an unabridged paperback edition. Hochstatdt's concise treatment of integral equations represents the best compro…

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

BEST PRACTICES TO CREATE AND IMPLEMENTHIGHLY EFFECTIVE WEB SURVEYS Exclusively combining design and sampling issues, Handbook of Web Surveys presents …

A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth scie…

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodo…

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network A…

An insightful presentation of the key concepts, paradigms, and applications of modeling and simulation Modeling and simulation has become an integral …

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

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

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

Praise for the Second Edition «This book is an excellent introduction to the wide field of boundary value problems.»—Journal of Engineering Mathematic…

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

Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to p…

The publication of the first book by Kenneth Arrow and Hervé Raynaud, in 1986, led to an important wave of research in the field of axiomatic approach…

Introduces a bold, new model for energy industry pollution prevention and sustainable growth Balancing industrial pollution prevention with economic g…